ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Claude Sonnet 4.6 vs GPT-6.1 Sol

GPT-6.1 Sol comes out ahead, 68 to 56 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Sonnet 4.6

    Released Feb 17, 2026

    56/100
    • ECI152.3
    • Price$3.00 / $15.00
    • Context1M
    Full specs Remove Claude Sonnet 4.6
  2. Our pick

    OpenAI

    GPT-6.1 Sol

    Released Sep 29, 2026

    68/100
    • ECI—
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove GPT-6.1 Sol

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6.1 Sol is our pick

GPT-6.1 Sol is the better all-round choice, scoring 68/100 against Claude Sonnet 4.6 (56). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6.1 Sol has no Capabilities Index score yet.

  • CapabilityGPT-6.1 SolShared benchmarks: GPT-6.1 Sol 89.8% · Claude Sonnet 4.6 69.6%
  • Lowest priceGPT-6.1 SolGPT-6.1 Sol $4.00 · Claude Sonnet 4.6 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6.1 SolGPT-6.1 Sol 1,050,000 · Claude Sonnet 4.6 1,000,000 tokens
  • Widest inputsSame inputsClaude Sonnet 4.6: Text, Images, PDFs · GPT-6.1 Sol: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 4.6GPT-6.1 Sol
CapabilityShared benchmarks50%7090
Price25%1321
Inputs & features15%8080
Context window10%6061
Overall100%56/10068/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Claude Sonnet 4.6 vs GPT-6.1 Sol specifications side by side
SpecificationClaude Sonnet 4.6AnthropicGPT-6.1 SolOpenAI
Capability
Capabilities Index (ECI)152.3—
ECI rank#40 of 148—
GPQA DiamondGraduate-level science questions87.4%95.4% (best)
FrontierMath Tiers 1–3Research-level mathematics—93.7%
OTIS Mock AIME 2024–2025Competition mathematics85.8%100% (best)
SWE-bench VerifiedFixing real GitHub issues75.2%—
SimpleQA VerifiedShort factual questions35.5%73.9% (best)
Price per million tokens
Input$3.00$2.00 (best)
Output$15.00$10.00 (best)
Cached input$0.30$0.10 (best)
Blended (3:1)$6.00$4.00 (best)
Long-context rateSame rateOver 272K: $4.00 / $15.00
Price sourceOfficial Anthropic APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)
Max output64,000 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDclaude-sonnet-4-6gpt-6.1-sol
API providers41 (best)21
ReleasedFeb 17, 2026Sep 29, 2026
Knowledge cutoffAug 31, 2025Apr 30, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Claude Sonnet 4.6$60.00
  • GPT-6.1 Sol$40.00
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 4.6 or GPT-6.1 Sol?

GPT-6.1 Sol is the better all-round choice, scoring 68/100 against Claude Sonnet 4.6 (56). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6.1 Sol has no Capabilities Index score yet.

Which is cheaper, Claude Sonnet 4.6 or GPT-6.1 Sol?

GPT-6.1 Sol is cheaper at $2.00 input / $10.00 output per million tokens (official OpenAI API price). Claude Sonnet 4.6 costs $3.00 input / $15.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for GPT-6.1 Sol versus $6.00 for Claude Sonnet 4.6 (1.5× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, OTIS Mock AIME 2024–2025 and SimpleQA Verified): GPT-6.1 Sol 89.8% and Claude Sonnet 4.6 69.6%. On individual benchmarks: GPQA Diamond — GPT-6.1 Sol 95.4%, Claude Sonnet 4.6 87.4%; OTIS Mock AIME 2024–2025 — GPT-6.1 Sol 100%, Claude Sonnet 4.6 85.8%; SimpleQA Verified — GPT-6.1 Sol 73.9%, Claude Sonnet 4.6 35.5%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6.1 Sol yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Sol leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-6.1 Sol has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Sonnet 4.6. Maximum output per response: Claude Sonnet 4.6 up to 64,000, GPT-6.1 Sol up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 4.6 accepts text, images and PDFs; GPT-6.1 Sol accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. Claude Sonnet 4.6 and GPT-6.1 Sol are proprietary and only available through APIs and apps.

Which is newer?

GPT-6.1 Sol is the newest, released Sep 29, 2026. Claude Sonnet 4.6 came out Feb 17, 2026. Knowledge cutoff: Claude Sonnet 4.6 Aug 31, 2025, GPT-6.1 Sol Apr 30, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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