ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Opus 4.8 vs GPT-5.6 Sol vs GPT-5.5

GPT-5.6 Sol comes out ahead, 66 to 63 and 63 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Opus 4.8

    Released May 28, 2026

    63/100
    • ECI158.3
    • Price$5.00 / $25.00
    • Context1M
  2. Our pick

    OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI161.8
    • Price$4.00 / $20.00
    • Context1.05M
  3. OpenAI

    GPT-5.5

    Released Apr 23, 2026

    63/100
    • ECI159.2
    • Price$5.00 / $30.00
    • Context1.05M
01 — Verdict

GPT-5.6 Sol is our pick

GPT-5.6 Sol is the better all-round choice, scoring 66/100 against GPT-5.5 (63) and Claude Opus 4.8 (63). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.6 SolCapabilities Index (ECI): GPT-5.6 Sol 161.8 · GPT-5.5 159.2 · Claude Opus 4.8 158.3
  • Lowest priceGPT-5.6 SolGPT-5.6 Sol $8.00 · Claude Opus 4.8 $10.00 · GPT-5.5 $11.25 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 Sol and GPT-5.5GPT-5.6 Sol 1,050,000 · GPT-5.5 1,050,000 · Claude Opus 4.8 1,000,000 tokens
  • Widest inputsSame inputsClaude Opus 4.8: Text, Images, PDFs · GPT-5.6 Sol: Text, Images, PDFs · GPT-5.5: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Opus 4.8GPT-5.6 SolGPT-5.5
CapabilityCapabilities Index (ECI)50%899390
Price25%270
Inputs & features15%808080
Context window10%606161
Overall100%63/10066/10063/100
02 — Side by side

Every spec in one table

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

Claude Opus 4.8 vs GPT-5.6 Sol vs GPT-5.5 specifications side by side
SpecificationClaude Opus 4.8AnthropicGPT-5.6 SolOpenAIGPT-5.5OpenAI
Capability
Capabilities Index (ECI)158.3161.8 (best)159.2
ECI rank#12 of 148#8 of 148 (best)#10 of 148
GPQA DiamondGraduate-level science questions91.0%93.5%94.0% (best)
FrontierMath Tiers 1–3Research-level mathematics80.0%89.1% (best)85.3%
OTIS Mock AIME 2024–2025Competition mathematics98.3%100% (best)100% (best)
SWE-bench VerifiedFixing real GitHub issues——80.6%
SimpleQA VerifiedShort factual questions53.0%69.7% (best)63.0%
Price per million tokens
Input$5.00$4.00 (best)$5.00
Output$25.00$20.00 (best)$30.00
Cached input$0.50$0.40 (best)$0.50
Blended (3:1)$10.00$8.00 (best)$11.25
Long-context rateSame rateOver 272K: $8.00 / $30.00Over 272K: $10.00 / $45.00
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)1,050,000 tokens (best)
Max output128,000 tokens128,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-opus-4-8gpt-5.6-solgpt-5.5
API providers45 (best)4042
ReleasedMay 28, 2026Jul 9, 2026Apr 23, 2026
Knowledge cutoffJan 2026Feb 16, 2026Dec 1, 2025
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 Opus 4.8$100.00
  • GPT-5.6 Sol$80.00
  • GPT-5.5$110.00
04 — Questions

Which should you choose?

Which is better: Claude Opus 4.8, GPT-5.6 Sol or GPT-5.5?

GPT-5.6 Sol is the better all-round choice, scoring 66/100 against GPT-5.5 (63) and Claude Opus 4.8 (63). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Opus 4.8, GPT-5.6 Sol or GPT-5.5?

GPT-5.6 Sol is cheaper at $4.00 input / $20.00 output per million tokens (official OpenAI API price). Claude Opus 4.8 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price); GPT-5.5 costs $5.00 input / $30.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $8.00 per million tokens for GPT-5.6 Sol versus $10.00 for Claude Opus 4.8 (1.3× as much) and $11.25 for GPT-5.5 (1.4× as much).

Which scores higher on benchmarks?

GPT-5.6 Sol scores higher on the Capabilities Index (ECI): GPT-5.6 Sol 161.8 (#8 of 148), GPT-5.5 159.2 (#10 of 148) and Claude Opus 4.8 158.3 (#12 of 148). The confidence ranges of the top two overlap (159.3–165.3 vs 156.9–162.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.5 94.0%, GPT-5.6 Sol 93.5%, Claude Opus 4.8 91.0%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, GPT-5.5 85.3%, Claude Opus 4.8 80.0%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, GPT-5.5 100%, Claude Opus 4.8 98.3%; SimpleQA Verified — GPT-5.6 Sol 69.7%, GPT-5.5 63.0%, Claude Opus 4.8 53.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Opus 4.8 and GPT-5.6 Sol yet, so there is no like-for-like coding score. On overall capability, GPT-5.6 Sol leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-5.6 Sol and GPT-5.5 have the largest context windows (1,050,000 and 1,050,000 tokens), against 1,000,000 for Claude Opus 4.8. Maximum output per response: Claude Opus 4.8 up to 128,000, GPT-5.6 Sol up to 128,000, GPT-5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Opus 4.8 accepts text, images and PDFs; GPT-5.6 Sol accepts text, images and PDFs; GPT-5.5 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. Claude Opus 4.8, GPT-5.6 Sol and GPT-5.5 are proprietary and only available through APIs and apps.

Which is newer?

GPT-5.6 Sol is the newest, released Jul 9, 2026. Claude Opus 4.8 came out May 28, 2026; GPT-5.5 came out Apr 23, 2026. Knowledge cutoff: Claude Opus 4.8 Jan 2026, GPT-5.6 Sol Feb 16, 2026, GPT-5.5 Dec 1, 2025.

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.