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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Pro vs Qwen3.6 Max Preview vs o3

Gemini 2.5 Pro comes out ahead, 63 to 58 and 54 on our weighted score, though Qwen3.6 Max Preview is 15% cheaper per token.

  1. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3.6 Max Preview

    Released Apr 20, 2026

    54/100
    • ECI149.2
    • Price$1.30 / $7.80
    • Context262K
  3. OpenAI

    o3

    Released Apr 16, 2025

    58/100
    • ECI146.9
    • Price$2.00 / $8.00
    • Context200K
01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and Qwen3.6 Max Preview (54). It leads on inputs & features and context window. Qwen3.6 Max Preview wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.6 Max PreviewCapabilities Index (ECI): Qwen3.6 Max Preview 149.2 · o3 146.9 · Gemini 2.5 Pro 145.3
  • Lowest priceQwen3.6 Max PreviewQwen3.6 Max Preview $2.92 · Gemini 2.5 Pro $3.44 · o3 $3.50 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Qwen3.6 Max Preview 262,144 · o3 200,000 tokens
  • Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · Qwen3.6 Max Preview: Text · o3: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini 2.5 ProQwen3.6 Max Previewo3
CapabilityCapabilities Index (ECI)50%727774
Price25%242824
Inputs & features15%1003580
Context window10%613732
Overall100%63/10054/10058/100
02 — Side by side

Every spec in one table

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

Gemini 2.5 Pro vs Qwen3.6 Max Preview vs o3 specifications side by side
SpecificationGemini 2.5 ProGoogleQwen3.6 Max PreviewAlibaba (Qwen)o3OpenAI
Capability
Capabilities Index (ECI)145.3149.2 (best)146.9
ECI rank#78 of 148#54 of 148 (best)#63 of 148
GPQA DiamondGraduate-level science questions85.3%87.4% (best)81.8%
FrontierMath Tiers 1–3Research-level mathematics24.6%—33.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics84.7%91.1% (best)84.4%
SWE-bench VerifiedFixing real GitHub issues57.6%76.7% (best)62.3%
SimpleQA VerifiedShort factual questions—52.0% (best)49.4%
Price per million tokens
Input$1.25 (best)$1.30$2.00
Output$10.00$7.80 (best)$8.00
Cached input$0.125 (best)$0.13$0.50
Blended (3:1)$3.44$2.92 (best)$3.50
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIOfficial Alibaba APIOfficial OpenAI API
Limits
Context window1,048,576 tokens (best)262,144 tokens200,000 tokens
Max output65,536 tokens65,536 tokens100,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoYes
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesYeslow · medium · high
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgemini-2.5-proqwen3.6-max-previewo3
API providers22 (best)1018
ReleasedJun 17, 2025Apr 20, 2026Apr 16, 2025
Knowledge cutoffJan 2025Apr 2025May 2024
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.

  • Gemini 2.5 Pro$32.50
  • Qwen3.6 Max Preview$28.60
  • o3$36.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Pro, Qwen3.6 Max Preview or o3?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and Qwen3.6 Max Preview (54). It leads on inputs & features and context window. Qwen3.6 Max Preview wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Pro, Qwen3.6 Max Preview or o3?

Qwen3.6 Max Preview is cheaper at $1.30 input / $7.80 output per million tokens (official Alibaba API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price); o3 costs $2.00 input / $8.00 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 Gemini 2.5 Pro (1.2× as much) and $3.50 for o3 (1.2× as much).

Which scores higher on benchmarks?

Qwen3.6 Max Preview scores higher on the Capabilities Index (ECI): Qwen3.6 Max Preview 149.2 (#54 of 148), o3 146.9 (#63 of 148) and Gemini 2.5 Pro 145.3 (#78 of 148). The confidence ranges of the top two overlap (147.6–152.0 vs 144.9–148.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 Max Preview 87.4%, Gemini 2.5 Pro 85.3%, o3 81.8%; OTIS Mock AIME 2024–2025 — Qwen3.6 Max Preview 91.1%, Gemini 2.5 Pro 84.7%, o3 84.4%; SWE-bench Verified — Qwen3.6 Max Preview 76.7%, o3 62.3%, 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%, o3 62.3% 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 262,144 for Qwen3.6 Max Preview and 200,000 for o3. Maximum output per response: Gemini 2.5 Pro up to 65,536, Qwen3.6 Max Preview up to 65,536, o3 up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Pro accepts text, images, PDFs, audio and video; Qwen3.6 Max Preview accepts text; o3 accepts text, images and PDFs. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. Gemini 2.5 Pro, Qwen3.6 Max Preview and o3 are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.6 Max Preview is the newest, released Apr 20, 2026. Gemini 2.5 Pro came out Jun 17, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, Qwen3.6 Max Preview Apr 2025, o3 May 2024.

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.