Pareto 26.10
AI costs add up as you iterate. Pareto blends models behind one API for code, tools and hard questions.
October 2026
From your first question
to your next big build.
API rates per 1M tokens: $0.80 input · $0.03 cached input · $3.20 output.
Scroll to open the possibilitiesExplore what you can build
Pareto blends models behind one API.
26.10 brings a 1M-token context window, tool calling and lower token rates for your next feature, agent or research workflow.
pareto-26.10From creative tools to interactive experiences: explore what creators have made with Pareto.
Watch the build ↗The creator reports working thumbnail generation after fixing application state. The build shows Pareto being used to develop a creative application.
Built with Union Alpha, later revealed as Pareto 26.9—not a 26.10 result. Stripe billing remained unfinished. The video discloses Bright Data sponsorship.
Two browser games from YFarmX, with reported usage and costs.
A night race through Manhattan.
Keyboard controls. Best played on desktop.
On mobile? Watch the gameplay film ↗
1,025,368 recorded output tokens · output-only estimate
Pareto 26.10$3.28Your baselineOutput-only estimates at standard-context API rates, not total build costs or rebuild quotes. Input and cache charges excluded. The $35.23 above is the builder’s reported historical spend, not this calculation. Claude rates · OpenAI rates · Build account.
An illustrated street game.
Jump in and start a round.
629,903 recorded output tokens · output-only estimate
Pareto 26.10$2.02Your baselineOutput-only estimates at standard-context API rates, not total build costs or rebuild quotes. Input and cache charges excluded. The $12.15 above is the builder’s reported historical spend, not this calculation. Claude rates · OpenAI rates · Build account.
This prototype used Pareto 26.10 Preview and Claude assistance. It is not an isolated model evaluation.
YFarmX reports these model costs and call counts for builds made with Pareto 26.9. Costs are not independently audited and exclude other project costs. Paper Round included final fixes by hand. Read the build accounts.
Still, as a full autonomous game generation, this is a strong result. Pareto 26.9 is definitely interesting.
This pareto-26.10-preview model is pretty cool. It does something I haven't seen before:
A multimodal composite model for research, coding, and agentic workflows, with 1M context, text and image input, and tool calling.
Ask a question in Chat, connect your business tools, or build with the API. Choose where to start.
Compare proposals, work through a difficult question, or turn your notes into a clear first draft.
Build a support assistant, summarize incoming requests, or draft updates using information from your own tools.
Develop an app or investigate a failing test. Use the same API to add AI features to your product.
Useful for your next patch, tool run or hard question? Start here. Then test Pareto on the work you actually do.
In preliminary October 1, 2026 preview results, Pareto 26.10 Preview matched or set the Pareto frontier on all four benchmarks.
Working through software-engineering tasks in a codebase.
Agent harness and execution setup matter.Completing tasks through a terminal environment.
Results depend on the agent harness and execution setup.Answering challenging questions across academic subjects.
Text-only subset; not the full multimodal exam.Answering graduate-level science questions.
Diamond subset, not a general-purpose accuracy score.Four separate tests, not one shared quality scale. Select a card for evaluation context.
| Benchmark | Score | Cost / task |
|---|---|---|
| Software engineeringDeepSWE v1.1 | 69.9% | $0.24 |
| Terminal tasksTerminal-Bench 4.0 | 50.8% | $0.48 |
| Humanity’s Last ExamHLE text-only | 49.9% | $0.008 |
| Graduate-level scienceGPQA-Diamond | 92.4% | $0.004 |
Preliminary October 1, 2026 preview measurements, not new release measurements. These are not estimates for your workload. Each chart runs from 0 to 100% for its own test; scores across different tests are not directly comparable.
Competitor rows in the release come from external publications, not a controlled head-to-head. Published results use different harnesses. DeepSWE v1.1 and Terminal-Bench 4.0 results depend on the agent harness and execution setup. HLE is the text-only subset; GPQA is the Diamond subset.
Pareto 26.10 API pricing, 57–88% lower than 26.9.
Put in your token mix and see the bill.
Estimated API cost for your selected token mix. Choose an example or enter your counts.
1 × $0.80 + 4 × $0.03 + 0.2 × $3.20 = $1.56
Token charges only, not total project cost. Excludes tools, hosting, taxes and human review. Actual usage and caching vary.
Published API ratesSame token volumes · estimated USD
Sol and Astra: standard-context estimate, not suitable for long-context requests.
Pareto 26.10$1.56Shared bar scale: $0–$24.00
Pareto 26.10 $1.56; Opus 5.5 $8.80; Sol 6.1 $4.40; Fable 5.1 $21.00; Astra 6 $24.00.
Standard API service, USD rates checked October 15, 2026. Each estimate = uncached input × input rate + cache reads × read rate + billed output × output rate; volumes are in millions. Bars share a zero baseline and one scale; values are rounded to cents.
Cache reads only: no cache-write charges are represented. If you have nonzero cache writes, include their charges separately using the provider’s write rates; do not count them as reads or ordinary input. This is not an all-in bill. Excludes tools, hosting, taxes, human review, batch, fast-service and regional pricing.
The context selector changes only Sol and Astra rates, manually. Select the provider’s applicable per-request tier; aggregate token volumes do not determine it. For a mix of tiers, calculate each group separately. The exact 272K threshold boundary has not been verified here, so this calculator never selects it automatically.
Same numeric token volumes do not guarantee the same text, quality or outcome. Tokenizers, reasoning, retries and strategies change usage. The games’ published usage is incomplete and caching is unknown; these estimates are not quotes to rebuild them. No live inference or network calls run in this calculator.
| Model | Input | Read | Output | Estimate |
|---|---|---|---|---|
| Pareto 26.10 | $0.80 | $0.03 | $3.20 | $1.56 |
| Opus 5.5 | $4.00 | $0.20 | $20.00 | $8.80 |
| Sol 6.1 | $2.00 | $0.10 | $10.00 | $4.40 |
| Fable 5.1 | $10.00 | $0.25 | $50.00 | $21.00 |
| Astra 6 | $10.00 | $1.00 | $50.00 | $24.00 |
Personal 50M tokens/week · $10/month
Personal Max 600M tokens/week · $100/month
Weekly token allowances, billed monthly. Compare plans.
Start with the story. Inspect the model. Bring your own task.
The stable release, lower API rates and updated weekly token allowances. Read what changed and how to move from the preview.
Read the launch articleModel capabilities, evaluation methodology and limitations. The reference behind the benchmark numbers.
Read the model cardSet up the API, choose a model ID and connect your tools. Pin pareto-26.10 or use the current pareto default.
Official release materials and community posts, ready to explore.
Pareto 26.10 is the stable release.
Start on the platform, or open Chat, now using 26.10 by default.
New Unbiased API accounts need manual approval. Payment does not mean instant access.
1M context window. Tool calling. On the Unbiased API, pareto now points to 26.10; pareto-26.9 remains available. The pareto-26.10-preview ID is being retired: switch to pareto or pareto-26.10. Test your workload before switching. OpenRouter availability is listed in its provider catalog.