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GPT-6.1 Sol benchmarks, pricing and specs

GPT-6.1 Sol is an OpenAI model released on September 29, 2026 that takes text and image input and produces text. It costs $2 per 1M input tokens and $10 per 1M output tokens and accepts up to 1,050,000 tokens of context. It scores 1484 Elo on Arena Text, #11 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$2
Per 1M output tokens
$10
Context window
1.05M
Arena Text
1484 Elo · #11/39

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
OpenAI
Model family
GPT-6.1
Release date
September 29, 2026
Status
Current
Access
API only
API model id
Not reported
Context window
1,050,000 tokens
Max output
128,000 tokens
Input
text, image
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

GPT-6.1 Sol pricing

It is the #12 most expensive of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$2standardCurrent
1M output tokens$10standardCurrent
1M input tokens$0.10cachedCurrent
1M input tokens$4long context over 272kCurrent
1M output tokens$15long context over 272kCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. OpenAI's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1484 Elo#11 of 39October 8, 2026Arena · 2026-10-12
GPQA Diamond95.4%#3 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)93.7%#1 of 37October 12, 2026Epoch AI · 2026-10-12
SimpleQA Verified73.9%#2 of 34October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • Matches GPT-6 Sol's $2 / $10 base rates while halving cached input to $0.10 per million, the cheapest cache read of any OpenAI model here
  • 1,050,000-token context window with a 128,000-token maximum output

Cautions

  • The same 272,000-token long-context cliff applies, rebilling the full request at $4 input and $15 output
  • Released a week after GPT-6 Sol at identical base pricing, so the two are easy to confuse on a rate card; the cached rate is the difference

Best for

  • Agent loops that replay a large cached prefix
  • A drop-in alternative to GPT-6 Sol at the same base cost

Alternatives to GPT-6.1 Sol

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare GPT-6.1 Sol with

GPT-6.1 Sol FAQ

How much does GPT-6.1 Sol cost?

GPT-6.1 Sol costs $2 per 1M input tokens and $10 per 1M output tokens at the standard tier. It is the #12 most expensive of 37 current text models priced per 1M input tokens. Source: OpenAI, verified October 11, 2026.

What is the context window of GPT-6.1 Sol?

GPT-6.1 Sol accepts up to 1,050,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #1 of 44 current text models by context length.

How does GPT-6.1 Sol score on independent benchmarks?

GPT-6.1 Sol scores 1484 Elo on Arena Text, #11 of 39 current models (Arena, measured October 8, 2026), 95.4% on GPQA Diamond, #3 of 37 current models (Epoch AI, measured October 12, 2026) and 93.7% on FrontierMath Tiers 1-3 (v2), #1 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not OpenAI's own launch figures.

Is GPT-6.1 Sol open source or API only?

GPT-6.1 Sol is available through OpenAI's API only; its weights are not published.

What are the best alternatives to GPT-6.1 Sol?

The closest current alternatives by price and measured performance are Gemini 3.8 Flash (63% cheaper per 1M input tokens, $0.75 vs $2), Claude Sonnet 5 (same price per 1M input tokens, $2), Claude Sonnet 5.5 (same price per 1M input tokens, $2) and GPT-4.1 (same price per 1M input tokens, $2).

Sources

Cite this page

Van Data Team. "GPT-6.1 Sol Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gpt-6-1-sol

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Production evaluation

Deciding whether GPT-6.1 Sol fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls