ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.1 vs GPT-5.6 Sol vs Qwen3.6 Max Preview

GPT-5.6 Sol comes out ahead, 66 to 60 and 54 on our weighted score, though Qwen3.6 Max Preview is 2.7× cheaper per token.

  1. OpenAI

    GPT-5.1

    Released Nov 13, 2025

    60/100
    • ECI149.7
    • Price$1.25 / $10.00
    • Context400K
  2. Our pick

    OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI161.8
    • Price$4.00 / $20.00
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen3.6 Max Preview

    Released Apr 20, 2026

    54/100
    • ECI149.2
    • Price$1.30 / $7.80
    • Context262K
01 — Verdict

GPT-5.6 Sol is our pick

GPT-5.6 Sol is the better all-round choice, scoring 66/100 against GPT-5.1 (60) and Qwen3.6 Max Preview (54). It leads on capability, inputs & features and context window. Qwen3.6 Max Preview wins on 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-5.1 149.7 · Qwen3.6 Max Preview 149.2
  • Lowest priceQwen3.6 Max PreviewQwen3.6 Max Preview $2.92 · GPT-5.1 $3.44 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · GPT-5.1 400,000 · Qwen3.6 Max Preview 262,144 tokens
  • Widest inputsGPT-5.6 SolGPT-5.1: Text, Images · GPT-5.6 Sol: Text, Images, PDFs · Qwen3.6 Max Preview: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.1GPT-5.6 SolQwen3.6 Max Preview
CapabilityCapabilities Index (ECI)50%789377
Price25%24728
Inputs & features15%708035
Context window10%446137
Overall100%60/10066/10054/100
02 — Side by side

Every spec in one table

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

GPT-5.1 vs GPT-5.6 Sol vs Qwen3.6 Max Preview specifications side by side
SpecificationGPT-5.1OpenAIGPT-5.6 SolOpenAIQwen3.6 Max PreviewAlibaba (Qwen)
Capability
Capabilities Index (ECI)149.7161.8 (best)149.2
ECI rank#52 of 148#8 of 148 (best)#54 of 148
GPQA DiamondGraduate-level science questions87.6%93.5% (best)87.4%
FrontierMath Tiers 1–3Research-level mathematics—89.1%—
OTIS Mock AIME 2024–2025Competition mathematics88.6%100% (best)91.1%
SWE-bench VerifiedFixing real GitHub issues68.0%—76.7% (best)
SimpleQA VerifiedShort factual questions48.0%69.7% (best)52.0%
Price per million tokens
Input$1.25 (best)$4.00$1.30
Output$10.00$20.00$7.80 (best)
Cached input$0.125 (best)$0.40$0.13
Blended (3:1)$3.44$8.00$2.92 (best)
Long-context rateSame rateOver 272K: $8.00 / $30.00Same rate
Price sourceOfficial OpenAI APIOfficial OpenAI APIOfficial Alibaba API
Limits
Context window400,000 tokens1,050,000 tokens (best)262,144 tokens
Max output128,000 tokens (best)128,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · highYeslow · medium · high · xhigh · maxYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.1gpt-5.6-solqwen3.6-max-preview
API providers2140 (best)10
ReleasedNov 13, 2025Jul 9, 2026Apr 20, 2026
Knowledge cutoffSep 30, 2024Feb 16, 2026Apr 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.

  • GPT-5.1$32.50
  • GPT-5.6 Sol$80.00
  • Qwen3.6 Max Preview$28.60
04 — Questions

Which should you choose?

Which is better: GPT-5.1, GPT-5.6 Sol or Qwen3.6 Max Preview?

GPT-5.6 Sol is the better all-round choice, scoring 66/100 against GPT-5.1 (60) and Qwen3.6 Max Preview (54). It leads on capability, inputs & features and context window. Qwen3.6 Max Preview wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.1, GPT-5.6 Sol or Qwen3.6 Max Preview?

Qwen3.6 Max Preview is cheaper at $1.30 input / $7.80 output per million tokens (official Alibaba API price). GPT-5.1 costs $1.25 input / $10.00 output per million tokens (official OpenAI API price); GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $2.92 per million tokens for Qwen3.6 Max Preview versus $3.44 for GPT-5.1 (1.2× as much) and $8.00 for GPT-5.6 Sol (2.7× 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-5.1 149.7 (#52 of 148) and Qwen3.6 Max Preview 149.2 (#54 of 148). Their confidence ranges do not overlap (159.3–165.3 vs 148.3–151.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.6 Sol 93.5%, GPT-5.1 87.6%, Qwen3.6 Max Preview 87.4%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Qwen3.6 Max Preview 91.1%, GPT-5.1 88.6%; SimpleQA Verified — GPT-5.6 Sol 69.7%, Qwen3.6 Max Preview 52.0%, GPT-5.1 48.0%.

Which is better for coding?

There are no published SWE-bench Verified results for 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 has the largest context window at 1,050,000 tokens, against 400,000 for GPT-5.1 and 262,144 for Qwen3.6 Max Preview. Maximum output per response: GPT-5.1 up to 128,000, GPT-5.6 Sol up to 128,000, Qwen3.6 Max Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-5.1 accepts text and images; GPT-5.6 Sol accepts text, images and PDFs; Qwen3.6 Max Preview accepts text. GPT-5.6 Sol handles the widest range of inputs.

Are any of these open source?

No. GPT-5.1, GPT-5.6 Sol and Qwen3.6 Max Preview are proprietary and only available through APIs and apps.

Which is newer?

GPT-5.6 Sol is the newest, released Jul 9, 2026. Qwen3.6 Max Preview came out Apr 20, 2026; GPT-5.1 came out Nov 13, 2025. Knowledge cutoff: GPT-5.1 Sep 30, 2024, GPT-5.6 Sol Feb 16, 2026, Qwen3.6 Max Preview Apr 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.