NEAR and Solana are optimized around different performance and user-experience choices, so neither is an established universal winner. NEAR’s current blockchain page advertises 600 ms block times, 1.2-second finality and scalability up to 1 million transactions per second through its Nightshade sharding design. Solana’s official material available for this comparison explains its fee market, sponsored transactions and production RPC requirements, but it does not provide a directly equivalent, current Solana-versus-NEAR speed test.
For a real project, compare the chains using your own transaction mix, latency target, total fee model, onboarding flow, required integrations and RPC operating requirements. The headline numbers are useful context, not a substitute for a controlled workload test.
NEAR vs Solana at a glance
The most defensible comparison is about documented mechanisms and clearly qualified network-published figures. The available official material does not establish a like-for-like ecosystem-size ranking or a controlled throughput and finality winner.
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| Area | NEAR Protocol | Solana |
|---|---|---|
| Published performance figures | NEAR reports 600 ms block time, 1.2-second finality and 1 million TPS scalability on its current blockchain page. | The official material used here does not provide a directly comparable current throughput and finality result under the same workload. |
| Architecture emphasis | Nightshade sharding; a NEAR retrospective describes growth from six to nine mainnet shards and a one-million-TPS benchmark milestone. | The material used here emphasizes transaction fee mechanics, fee sponsorship and production RPC operations rather than a matched performance benchmark. |
| Fee mechanism | NEAR’s Developer Hub says typical transaction costs are below $0.01 and shows average fees near $0.0002. The page does not state a measurement window or equivalent transaction mix. | Every transaction has a base fee of 5,000 lamports per signature, with an optional prioritization fee based on compute-unit settings. |
| User-paid gas options | NEAR describes gas sponsorship and passkey-oriented onboarding for applications. | An application can designate another account as fee payer; the sender and sponsor both sign the transaction. |
| Production infrastructure guidance | The cited NEAR material highlights developer tooling and onboarding. | Solana recommends private RPC access for production and evaluation of peak request rate, API methods, WebSocket subscriptions, history depth and geography. |
What is the difference between NEAR and Solana?
NEAR presents scalability as a sharding problem. Its Nightshade design divides network work across shards, and the chain’s public materials connect that architecture to fast blocks, rapid finality and a headline scalability target. The reported figures are claims published by NEAR, not the result of a neutral head-to-head test.
Solana’s documentation in this comparison presents a different set of practical concerns: every transaction pays a fee in SOL, transactions can add a priority fee when blockspace is contested, applications can sponsor fees for users, and production deployments need RPC infrastructure selected for their traffic and data needs. Those are important dimensions of performance in a working application even when a single TPS number is unavailable.
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In other words, NEAR’s documented story is centered on sharded execution and onboarding flexibility, while Solana’s cited material is strongest on fee markets and operating a production application. A project should evaluate the complete path from wallet interaction to RPC submission, confirmation and finality rather than comparing one marketing number with another.
Which is faster, NEAR or Solana?
No controlled, like-for-like test in the available official material proves that one is faster overall. NEAR publishes specific block, finality and scalability figures. The Solana documents used here do not publish a directly equivalent result measured with the same transaction type, load, hardware assumptions, client path and definition of finality.
NEAR’s published speed figures
NEAR’s current blockchain page reports:
- 600 ms block time. This is the interval NEAR publishes for block production.
- 1.2-second finality. This is NEAR’s published figure for reaching finality.
- 1 million TPS scalability. This is a network-published scalability claim, not a statement that every application continuously processes one million identical transactions per second.
A NEAR retrospective published in 2026 describes expansion from six to nine mainnet shards and a one-million-TPS benchmark milestone. A benchmark milestone and a headline scalability target should not be read as sustained real-world throughput for a particular contract, wallet or RPC provider.
Why the figures are not a speed race
“TPS” can mean submitted transactions, accepted transactions, executed transactions or finalized transactions. Results also change with transaction size, contract complexity, read and write mix, contention, client software, geographic distance and RPC capacity. Finality can likewise be measured from submission, acceptance or block inclusion. Unless both networks use the same definitions and workload, the numbers are not interchangeable.
The evidence available here therefore supports saying what NEAR advertises, not declaring NEAR the faster chain. It also does not support declaring Solana faster from general reputation or from a figure that was not measured under the same conditions.
How to measure speed for your application
If latency matters to your product, define the measurement before choosing a network:
- Specify the transaction mix. Include the exact calls, account reads and writes, payload sizes and expected concurrency. A simple transfer is not a substitute for a multi-step contract call.
- Define the clocks. Record client submission time, RPC acknowledgement, inclusion time and the time your application treats the result as final.
- Use equivalent traffic. Run the same number of concurrent clients and the same request pattern against each chain. Keep the test period, geographic locations and client retry policy consistent.
- Record failures and retries. A system that confirms quickly but requires frequent retries can deliver worse user-perceived performance than a slower system with predictable inclusion.
- Test ordinary and congested conditions. Measure baseline latency, peak-load latency and the behavior when fees or priority settings change.
- Report distributions, not only averages. Median, 95th-percentile and 99th-percentile inclusion and finality times reveal delays that an average hides.
How NEAR Protocol’s speed design works
Nightshade sharding
NEAR describes Nightshade as a sharded architecture. Sharding allows network work to be partitioned rather than handled as one undivided execution stream. The practical implication is that a project should ask how its workload is distributed, how cross-shard actions behave and whether its application’s bottlenecks are execution, storage, networking or user-facing confirmation.
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Six to nine mainnet shards
NEAR’s retrospective describes an expansion from six to nine mainnet shards. That change is evidence of the network’s scaling direction, but it is not itself a benchmark for your application. More shards do not automatically mean every contract call receives a proportional speedup; workload placement and cross-shard coordination still matter.
Benchmark versus production throughput
The one-million-TPS figure appears in NEAR’s published scalability narrative and in the retrospective’s benchmark milestone. Treat it as a capacity claim with a particular test context. Ask for the transaction definition, duration, success criteria and hardware or network assumptions before using it in a capacity plan.
How Solana transaction performance should be evaluated
The Solana material available here does not supply a matching current TPS or finality result, but it does identify operational factors that directly affect an application’s effective speed.
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Fee markets can affect inclusion
Solana transactions have a base fee and may include a prioritization fee. The priority component depends on the compute-unit price and compute-unit limit selected for the transaction. During contention, those settings can influence how quickly a transaction is included. A speed test that fixes neither compute settings nor fee policy is incomplete.
RPC path is part of user-visible latency
Solana’s production guide recommends private RPC access and tells developers to evaluate:
- Peak request rate, not only average traffic.
- The API methods the application calls.
- WebSocket subscription requirements.
- How much historical data the product needs.
- Geographic coverage relative to users and backend systems.
These factors determine how quickly a wallet or application can submit a transaction, receive status updates and obtain the data needed to render a result. A chain-level figure cannot compensate for an overloaded or geographically distant RPC endpoint.
Which has lower fees?
There is no fair single-number answer because the cited figures describe different things. Solana’s documentation specifies a fee formula and a base rate. NEAR’s Developer Hub gives typical and average cost figures without stating an equivalent workload or measurement period.
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Solana’s fee structure
Every Solana transaction requires a fee paid in SOL.
— Solana Foundation documentation.
The documented Solana fee has two parts:
- Base fee: 5,000 lamports per signature.
- Prioritization fee: optional, calculated from the transaction’s compute-unit price and compute-unit limit.
Because the base amount is charged per signature, a transaction with more required signatures has a higher base fee. Priority fees add a variable component when an application chooses to bid for execution priority. Solana’s documentation also states that fees are charged even when a transaction fails, so retry-heavy applications must include failed attempts in their cost model.
NEAR’s published cost figures
NEAR’s Developer Hub says typical transaction costs are below $0.01 and shows average fees near $0.0002. The retrieved page does not state a measurement window, transaction mix, currency-conversion assumption or equivalent Solana workload. Those values should therefore be presented as NEAR’s own typical and average figures, not as a controlled ranking against Solana’s 5,000-lamport base fee.
What a real fee comparison should include
Build a cost sheet for the actions your product actually performs:
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- Record the compute-unit limit and price used by Solana transactions, including changes during congestion.
- Include failed transactions and retries because Solana charges fees for failed transactions.
- For NEAR, record the actual gas used by each call and the application’s transaction mix rather than applying the headline average to every action.
- Include any account-related or storage-related costs that your application incurs on the chosen chain.
- Separate user-paid fees from fees the application pays through sponsorship.
- State the token-price timestamp when converting either chain’s cost into a fiat amount.
This produces a project-specific total cost instead of implying that two differently measured figures are directly comparable.
Fee sponsorship and onboarding
Solana fee payer model
Solana allows an application to designate another account as the fee payer. The sender and the sponsor both sign the transaction. This can remove the need for a new user to hold SOL before completing an action, but it creates operational responsibilities for the application.
Solana’s guidance highlights sponsor-wallet management, conversions where relevant, rate limits and security controls. A production design should define who can authorize sponsored transactions, how much each user or session may spend, how wallets are replenished and how abuse is detected.
NEAR gas sponsorship and passkeys
NEAR’s Developer Hub describes gas sponsorship as an application option and presents passkey-style onboarding. These features can reduce the number of wallet and token steps a user sees during signup or a first transaction. They do not remove the need to budget gas, protect sponsorship keys and set limits; they change which component of the system handles those tasks.
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For consumer applications, compare the complete onboarding flow: account creation, key recovery, first transaction, sponsored transaction limits and the point at which a user must acquire or manage a network token.
NEAR and Solana ecosystem differences
What NEAR’s cited ecosystem material shows
NEAR’s ecosystem retrospective centers on NEAR Intents integrations and names Ledger, CoW Swap, ThorSwap, Rango Exchange, ShapeShift, Rubic Exchange, Infinex, SwapKit, HOT Bridge and Rhea. These names demonstrate integrations and partner connections reported by NEAR. They do not establish that NEAR has a larger or more active ecosystem than Solana.
Use the list as a starting point for checking whether a particular routing, wallet, bridge or exchange path exists for your project. Verify current support, supported assets, settlement route and operational status before committing to an integration.
What the Solana material shows
The Solana sources used here provide detailed guidance for production RPC, fee sponsorship and fee markets. They do not constitute a census of Solana applications, developers or users. The material therefore supports an operational comparison, not a claim that Solana has more developers, greater application activity or a larger ecosystem.
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Use the same dated methodology for both networks. Possible measures include active developers under a defined counting rule, application usage over the same interval, transaction volume by application category, liquidity in the exact markets you need and the availability of audited infrastructure. Do not substitute a partner list from one network for a measured ecosystem comparison.
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NEAR development options
NEAR’s official developer material describes smart-contract development in Rust or JavaScript, passkey-oriented onboarding and application-sponsored gas. Those choices may suit teams that want familiar JavaScript skills in their contract workflow or want to design an account experience around passkeys and sponsored transactions.
Solana production requirements
The Solana guidance retrieved for this comparison is explicit about production RPC selection. A public endpoint may be adequate for experimentation, but a production application should assess private RPC access against its peak traffic, required API methods, WebSocket use, history depth and user geography. The right infrastructure depends on the application’s read volume and confirmation workflow, not simply on the chain name.
Questions to ask before deployment
- Which contract language and tooling can the team maintain over the expected life of the product?
- Can the application sponsor gas or fees without creating an uncontrolled spending path?
- Does the project require passkeys, conventional wallet signing or both?
- Which cross-chain integrations are mandatory, and are they live for the exact assets and routes required?
- What RPC throughput, history and subscription capacity is needed at peak?
- How will the team monitor confirmation delays, failed transactions, retries and sponsor-wallet balances?
A practical decision framework
Choose the network by weighting the requirements that can make or break your application:
Choose NEAR when its documented strengths match the product
- Your design benefits from a sharded architecture and you are prepared to test cross-shard behavior for the actual workload.
- You want the onboarding model described by NEAR, including passkeys and application-sponsored gas.
- Rust or JavaScript smart-contract development fits the team’s skills and tooling plans.
- The NEAR Intents integrations named in NEAR’s ecosystem material cover the routes and counterparties your product actually needs.
- Your measured tests confirm that NEAR’s latency and cost behavior meet the product’s service-level targets.
Choose Solana when its documented operating model fits
- Your application can manage a base fee of 5,000 lamports per signature and, when necessary, a variable priority fee based on compute settings.
- You need a fee-payer design in which an application sponsors transactions while controlling sponsor wallets, limits and security.
- Your team can select and operate private RPC access based on peak traffic, API methods, subscriptions, history and geography.
- Your own workload tests show acceptable inclusion and finality behavior under both ordinary and congested conditions.
When neither can be selected from headline claims
If your requirements depend on a strict confirmation-time objective, a high-volume contract call or a narrow integration route, run a controlled proof of concept on both networks. The available official material does not justify choosing a universal winner in advance.
How to run a fair NEAR-versus-Solana proof of concept
- Write the workload specification. List every transaction type, expected calls per user, read traffic, write traffic, concurrency and daily and peak volumes.
- Set success thresholds. Define maximum acceptable submission-to-inclusion and inclusion-to-finality times, maximum failure rate and maximum cost per completed user action.
- Build equivalent client flows. Use the same user geography, backend locations, retry policy and observability timestamps.
- Configure fee policies deliberately. On Solana, record base signatures, compute-unit limits, compute-unit prices and priority changes. On NEAR, record gas usage and the exact sponsored or user-paid path.
- Exercise onboarding. Test first-time users, key recovery, passkey behavior where used, tokenless sponsored actions and the point at which a user must fund an account.
- Test integrations, not just contracts. Verify the exact wallet, exchange, bridge or routing service needed by the product, including failure and fallback behavior.
- Load-test infrastructure. Measure RPC rate limits, WebSocket stability, historical reads and geographic latency. For Solana, apply the production RPC criteria in its official guidance.
- Publish the methodology with results. State dates, regions, transaction definitions, fee settings, software versions and whether values are medians or tail percentiles.
Common comparison mistakes
Calling a scalability claim a sustained TPS result
NEAR’s one-million-TPS figure is a published scalability claim and benchmark milestone. It should not be presented as guaranteed sustained throughput for every contract or as a result directly measured against Solana.
Comparing an average NEAR fee with a Solana base fee
The NEAR Developer Hub’s near-$0.0002 average and below-$0.01 typical-cost statements lack an equivalent transaction mix and measurement window in the cited page. Solana’s 5,000-lamport figure is a base fee per signature and may be supplemented by a priority fee. Compare completed user actions under the same conditions instead.
Ignoring failed transactions
Solana documentation states that fees are charged even when a transaction fails. A model that counts only successful confirmations understates the cost of retries, invalid parameters and congestion-related failures.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsTreating an integration list as an ecosystem ranking
NEAR’s named Intents integrations show examples of connectivity, not relative developer counts, application activity or liquidity. A fair ecosystem claim requires the same dated metric for both networks.
Measuring the chain but not the RPC
Users experience the wallet, application backend and RPC path together. Peak request rate, subscriptions, history and geography can dominate perceived latency, so include them in the proof of concept.
Bottom line: how to choose
NEAR is the clearer fit when your design values Nightshade sharding, the passkey and sponsored-gas onboarding model described by NEAR, and integrations available through its documented ecosystem. Solana is the clearer fit when your team is comfortable with its base-plus-priority fee model, needs application-controlled fee sponsorship and can provision production RPC around peak traffic, subscriptions, history and geography.
Those are conditional choices, not a universal ranking. NEAR’s 600 ms blocks, 1.2-second finality and one-million-TPS scalability figure are network-published claims, while the available Solana material does not provide a matching benchmark. Measure both chains with the transaction mix, fee policy and infrastructure your product will actually use.
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