ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.6 Sol vs Claude Opus 5 vs Qwen3.8 Max

Qwen3.8 Max comes out ahead, 69 to 66 and 66 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI161.8
    • Price$4.00 / $20.00
    • Context1.05M
  2. Anthropic

    Claude Opus 5

    Released Jul 24, 2026

    66/100
    • ECI162.9
    • Price$5.00 / $25.00
    • Context1M
  3. Our pick

    Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
01 — Verdict

Qwen3.8 Max is our pick

Qwen3.8 Max is the better all-round choice, scoring 69/100 against GPT-5.6 Sol (66) and Claude Opus 5 (66). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5Capabilities Index (ECI): Claude Opus 5 162.9 · GPT-5.6 Sol 161.8 · Qwen3.8 Max 156.6
  • Lowest priceQwen3.8 MaxQwen3.8 Max $3.00 · GPT-5.6 Sol $8.00 · Claude Opus 5 $10.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Claude Opus 5 1,000,000 · Qwen3.8 Max 1,000,000 tokens
  • Widest inputsQwen3.8 MaxGPT-5.6 Sol: Text, Images, PDFs · Claude Opus 5: Text, Images, PDFs · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.6 SolClaude Opus 5Qwen3.8 Max
CapabilityCapabilities Index (ECI)50%939486
Price25%7227
Inputs & features15%808090
Context window10%616060
Overall100%66/10066/10069/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Sol vs Claude Opus 5 vs Qwen3.8 Max specifications side by side
SpecificationGPT-5.6 SolOpenAIClaude Opus 5AnthropicQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)161.8162.9 (best)156.6
ECI rank#8 of 148#5 of 148 (best)#20 of 148
GPQA DiamondGraduate-level science questions93.5%93.9% (best)92.7%
FrontierMath Tiers 1–3Research-level mathematics89.1% (best)85.6%74.7%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)98.9%99.4%
SimpleQA VerifiedShort factual questions69.7% (best)59.9%45.8%
Price per million tokens
Input$4.00$5.00$2.00 (best)
Output$20.00$25.00$6.00 (best)
Cached input$0.40$0.50$0.25 (best)
Blended (3:1)$8.00$10.00$3.00 (best)
Long-context rateOver 272K: $8.00 / $30.00Same rateSame rate
Price sourceOfficial OpenAI APIOfficial Anthropic APIOfficial Alibaba API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens1,000,000 tokens
Max output128,000 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · maxYeslow · medium · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.6-solclaude-opus-5qwen3.8-max
API providers40 (best)3525
ReleasedJul 9, 2026Jul 24, 2026Aug 3, 2026
Knowledge cutoffFeb 16, 2026May 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.

  • GPT-5.6 Sol$80.00
  • Claude Opus 5$100.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol, Claude Opus 5 or Qwen3.8 Max?

Qwen3.8 Max is the better all-round choice, scoring 69/100 against GPT-5.6 Sol (66) and Claude Opus 5 (66). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Sol, Claude Opus 5 or Qwen3.8 Max?

Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price); Claude Opus 5 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Qwen3.8 Max versus $8.00 for GPT-5.6 Sol (2.7× as much) and $10.00 for Claude Opus 5 (3.3× as much).

Which scores higher on benchmarks?

Claude Opus 5 scores higher on the Capabilities Index (ECI): Claude Opus 5 162.9 (#5 of 148), GPT-5.6 Sol 161.8 (#8 of 148) and Qwen3.8 Max 156.6 (#20 of 148). The confidence ranges of the top two overlap (160.2–166.7 vs 159.3–165.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Opus 5 93.9%, GPT-5.6 Sol 93.5%, Qwen3.8 Max 92.7%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Claude Opus 5 85.6%, Qwen3.8 Max 74.7%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Qwen3.8 Max 99.4%, Claude Opus 5 98.9%; SimpleQA Verified — GPT-5.6 Sol 69.7%, Claude Opus 5 59.9%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol, Claude Opus 5 and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5 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 has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Opus 5 and 1,000,000 for Qwen3.8 Max. Maximum output per response: GPT-5.6 Sol up to 128,000, Claude Opus 5 up to 128,000, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol accepts text, images and PDFs; Claude Opus 5 accepts text, images and PDFs; Qwen3.8 Max accepts text, images, PDFs and video. Qwen3.8 Max handles the widest range of inputs.

Are any of these open source?

No. GPT-5.6 Sol, Claude Opus 5 and Qwen3.8 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.8 Max is the newest, released Aug 3, 2026. Claude Opus 5 came out Jul 24, 2026; GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026, Claude Opus 5 May 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.