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Comparison · 2 models · Updated Oct 4, 2026

GPT-6 Sol vs Qwen3.8 Max

Too close to call on our weighted score (GPT-6 Sol 67, Qwen3.8 Max 65). The right pick depends on what you value most.

  1. OpenAI

    GPT-6 Sol

    Released Sep 22, 2026

    67/100
    • ECI—
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove GPT-6 Sol

  2. Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    65/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
    Full specs Remove Qwen3.8 Max

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-6 Sol 67/100, Qwen3.8 Max 65/100), so choose by what matters most for your work: GPT-6 Sol for raw capability and Qwen3.8 Max on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6 Sol has no Capabilities Index score yet.

  • CapabilityGPT-6 SolShared benchmarks: GPT-6 Sol 86.2% · Qwen3.8 Max 78.2%
  • Lowest priceQwen3.8 MaxQwen3.8 Max $3.00 · GPT-6 Sol $4.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 SolGPT-6 Sol 1,050,000 · Qwen3.8 Max 1,000,000 tokens
  • Widest inputsQwen3.8 MaxGPT-6 Sol: Text, Images, PDFs · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-6 SolQwen3.8 Max
CapabilityShared benchmarks50%8678
Price25%2127
Inputs & features15%8090
Context window10%6160
Overall100%67/10065/100
02 — Side by side

Every spec in one table

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

GPT-6 Sol vs Qwen3.8 Max specifications side by side
SpecificationGPT-6 SolOpenAIQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)—156.6
ECI rank—#20 of 148
GPQA DiamondGraduate-level science questions94.3% (best)92.7%
FrontierMath Tiers 1–3Research-level mathematics89.8% (best)74.7%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)99.4%
SimpleQA VerifiedShort factual questions60.7% (best)45.8%
Price per million tokens
Input$2.00$2.00
Output$10.00$6.00 (best)
Cached input$0.20 (best)$0.25
Blended (3:1)$4.00$3.00 (best)
Long-context rateOver 272K: $4.00 / $15.00Same rate
Price sourceOfficial OpenAI APIOfficial Alibaba API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens
Max output128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoNo
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-6-solqwen3.8-max
API providers2525
ReleasedSep 22, 2026Aug 3, 2026
Knowledge cutoffApr 20, 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-6 Sol$40.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: GPT-6 Sol or Qwen3.8 Max?

It is close. Our weighted score puts them within 1 points (GPT-6 Sol 67/100, Qwen3.8 Max 65/100), so choose by what matters most for your work: GPT-6 Sol for raw capability and Qwen3.8 Max on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6 Sol has no Capabilities Index score yet.

Which is cheaper, GPT-6 Sol or Qwen3.8 Max?

Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). GPT-6 Sol costs $2.00 input / $10.00 output per million tokens (official OpenAI 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 $4.00 for GPT-6 Sol (1.3× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): GPT-6 Sol 86.2% and Qwen3.8 Max 78.2%. On individual benchmarks: GPQA Diamond — GPT-6 Sol 94.3%, Qwen3.8 Max 92.7%; FrontierMath Tiers 1–3 — GPT-6 Sol 89.8%, Qwen3.8 Max 74.7%; OTIS Mock AIME 2024–2025 — GPT-6 Sol 100%, Qwen3.8 Max 99.4%; SimpleQA Verified — GPT-6 Sol 60.7%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6 Sol and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, GPT-6 Sol leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-6 Sol has the largest context window at 1,050,000 tokens, against 1,000,000 for Qwen3.8 Max. Maximum output per response: GPT-6 Sol up to 128,000, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-6 Sol 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-6 Sol and Qwen3.8 Max are proprietary and only available through APIs and apps.

Which is newer?

GPT-6 Sol is the newest, released Sep 22, 2026. Qwen3.8 Max came out Aug 3, 2026. Knowledge cutoff: GPT-6 Sol Apr 20, 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.

05 — Keep comparing

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