ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.1 vs Gemini 2.5 Pro vs Qwen3.6 Max Preview

Gemini 2.5 Pro comes out ahead, 63 to 60 and 54 on our weighted score, though Qwen3.6 Max Preview is 15% 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

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • 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

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-5.1 (60) and Qwen3.6 Max Preview (54). It leads on 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-5.1Capabilities Index (ECI): GPT-5.1 149.7 · Qwen3.6 Max Preview 149.2 · Gemini 2.5 Pro 145.3
  • Lowest priceQwen3.6 Max PreviewQwen3.6 Max Preview $2.92 · GPT-5.1 $3.44 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · GPT-5.1 400,000 · Qwen3.6 Max Preview 262,144 tokens
  • Widest inputsGemini 2.5 ProGPT-5.1: Text, Images · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video · Qwen3.6 Max Preview: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.1Gemini 2.5 ProQwen3.6 Max Preview
CapabilityCapabilities Index (ECI)50%787277
Price25%242428
Inputs & features15%7010035
Context window10%446137
Overall100%60/10063/10054/100
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 Gemini 2.5 Pro vs Qwen3.6 Max Preview specifications side by side
SpecificationGPT-5.1OpenAIGemini 2.5 ProGoogleQwen3.6 Max PreviewAlibaba (Qwen)
Capability
Capabilities Index (ECI)149.7 (best)145.3149.2
ECI rank#52 of 148 (best)#78 of 148#54 of 148
GPQA DiamondGraduate-level science questions87.6% (best)85.3%87.4%
FrontierMath Tiers 1–3Research-level mathematics—24.6%—
OTIS Mock AIME 2024–2025Competition mathematics88.6%84.7%91.1% (best)
SWE-bench VerifiedFixing real GitHub issues68.0%57.6%76.7% (best)
SimpleQA VerifiedShort factual questions48.0%—52.0% (best)
Price per million tokens
Input$1.25 (best)$1.25 (best)$1.30
Output$10.00$10.00$7.80 (best)
Cached input$0.125 (best)$0.125 (best)$0.13
Blended (3:1)$3.44$3.44$2.92 (best)
Long-context rateSame rateOver 200K: $2.50 / $15.00Same rate
Price sourceOfficial OpenAI APIOfficial Google APIOfficial Alibaba API
Limits
Context window400,000 tokens1,048,576 tokens (best)262,144 tokens
Max output128,000 tokens (best)65,536 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoYesNo
AudioNoYesNo
VideoNoYesNo
ReasoningYeslow · medium · highYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.1gemini-2.5-proqwen3.6-max-preview
API providers2122 (best)10
ReleasedNov 13, 2025Jun 17, 2025Apr 20, 2026
Knowledge cutoffSep 30, 2024Jan 2025Apr 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
  • Gemini 2.5 Pro$32.50
  • Qwen3.6 Max Preview$28.60
04 — Questions

Which should you choose?

Which is better: GPT-5.1, Gemini 2.5 Pro or Qwen3.6 Max Preview?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-5.1 (60) and Qwen3.6 Max Preview (54). It leads on 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, Gemini 2.5 Pro 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); Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 for Gemini 2.5 Pro (1.2× as much).

Which scores higher on benchmarks?

GPT-5.1 scores higher on the Capabilities Index (ECI): GPT-5.1 149.7 (#52 of 148), Qwen3.6 Max Preview 149.2 (#54 of 148) and Gemini 2.5 Pro 145.3 (#78 of 148). The confidence ranges of the top two overlap (148.3–151.1 vs 147.6–152.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.1 87.6%, Qwen3.6 Max Preview 87.4%, Gemini 2.5 Pro 85.3%; OTIS Mock AIME 2024–2025 — Qwen3.6 Max Preview 91.1%, GPT-5.1 88.6%, Gemini 2.5 Pro 84.7%; SWE-bench Verified — Qwen3.6 Max Preview 76.7%, GPT-5.1 68.0%, Gemini 2.5 Pro 57.6%.

Which is better for coding?

Qwen3.6 Max Preview resolves more real GitHub issues on SWE-bench Verified: Qwen3.6 Max Preview 76.7%, GPT-5.1 68.0% and Gemini 2.5 Pro 57.6%. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro has the largest context window at 1,048,576 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, Gemini 2.5 Pro up to 65,536, Qwen3.6 Max Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-5.1 accepts text and images; Gemini 2.5 Pro accepts text, images, PDFs, audio and video; Qwen3.6 Max Preview accepts text. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. GPT-5.1, Gemini 2.5 Pro and Qwen3.6 Max Preview are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.6 Max Preview is the newest, released Apr 20, 2026. GPT-5.1 came out Nov 13, 2025; Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: GPT-5.1 Sep 30, 2024, Gemini 2.5 Pro Jan 2025, 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.