ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Sonnet 5 vs GPT-5.2 vs Qwen3.8 Max

Qwen3.8 Max comes out ahead, 69 to 66 and 61 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Sonnet 5

    Released Jun 30, 2026

    66/100
    • ECI156.3
    • Price$2.00 / $10.00
    • Context1M
  2. OpenAI

    GPT-5.2

    Released Dec 11, 2025

    61/100
    • ECI153.5
    • Price$1.75 / $14.00
    • Context400K
  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 Claude Sonnet 5 (66) and GPT-5.2 (61). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.8 MaxCapabilities Index (ECI): Qwen3.8 Max 156.6 · Claude Sonnet 5 156.3 · GPT-5.2 153.5
  • Lowest priceQwen3.8 MaxQwen3.8 Max $3.00 · Claude Sonnet 5 $4.00 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
  • Longest contextClaude Sonnet 5 and Qwen3.8 MaxClaude Sonnet 5 1,000,000 · Qwen3.8 Max 1,000,000 · GPT-5.2 400,000 tokens
  • Widest inputsQwen3.8 MaxClaude Sonnet 5: Text, Images, PDFs · GPT-5.2: Text, Images · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 5GPT-5.2Qwen3.8 Max
CapabilityCapabilities Index (ECI)50%868386
Price25%211827
Inputs & features15%807090
Context window10%604460
Overall100%66/10061/10069/100
02 — Side by side

Every spec in one table

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

Claude Sonnet 5 vs GPT-5.2 vs Qwen3.8 Max specifications side by side
SpecificationClaude Sonnet 5AnthropicGPT-5.2OpenAIQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)156.3153.5156.6 (best)
ECI rank#23 of 148#38 of 148#20 of 148 (best)
GPQA DiamondGraduate-level science questions90.5%91.4%92.7% (best)
FrontierMath Tiers 1–3Research-level mathematics65.6%67.4%74.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics94.7%96.1%99.4% (best)
SWE-bench VerifiedFixing real GitHub issues—73.8%—
SimpleQA VerifiedShort factual questions33.7%37.1%45.8% (best)
Price per million tokens
Input$2.00$1.75 (best)$2.00
Output$10.00$14.00$6.00 (best)
Cached input$0.20$0.175 (best)$0.25
Blended (3:1)$4.00$4.81$3.00 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial Alibaba API
Limits
Context window1,000,000 tokens (best)400,000 tokens1,000,000 tokens (best)
Max output128,000 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhighYeslow · medium · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-sonnet-5gpt-5.2qwen3.8-max
API providers38 (best)2125
ReleasedJun 30, 2026Dec 11, 2025Aug 3, 2026
Knowledge cutoffJan 31, 2026Aug 31, 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.

  • Claude Sonnet 5$40.00
  • GPT-5.2$45.50
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 5, GPT-5.2 or Qwen3.8 Max?

Qwen3.8 Max is the better all-round choice, scoring 69/100 against Claude Sonnet 5 (66) and GPT-5.2 (61). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Sonnet 5, GPT-5.2 or Qwen3.8 Max?

Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). Claude Sonnet 5 costs $2.00 input / $10.00 output per million tokens (official Anthropic API price); GPT-5.2 costs $1.75 input / $14.00 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 Claude Sonnet 5 (1.3× as much) and $4.81 for GPT-5.2 (1.6× as much).

Which scores higher on benchmarks?

Qwen3.8 Max scores higher on the Capabilities Index (ECI): Qwen3.8 Max 156.6 (#20 of 148), Claude Sonnet 5 156.3 (#23 of 148) and GPT-5.2 153.5 (#38 of 148). The confidence ranges of the top two overlap (154.5–158.8 vs 153.6–158.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.8 Max 92.7%, GPT-5.2 91.4%, Claude Sonnet 5 90.5%; FrontierMath Tiers 1–3 — Qwen3.8 Max 74.7%, GPT-5.2 67.4%, Claude Sonnet 5 65.6%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 99.4%, GPT-5.2 96.1%, Claude Sonnet 5 94.7%; SimpleQA Verified — Qwen3.8 Max 45.8%, GPT-5.2 37.1%, Claude Sonnet 5 33.7%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Sonnet 5 and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 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?

Claude Sonnet 5 and Qwen3.8 Max have the largest context windows (1,000,000 and 1,000,000 tokens), against 400,000 for GPT-5.2. Maximum output per response: Claude Sonnet 5 up to 128,000, GPT-5.2 up to 128,000, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 5 accepts text, images and PDFs; GPT-5.2 accepts text and images; 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. Claude Sonnet 5, GPT-5.2 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 Sonnet 5 came out Jun 30, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: Claude Sonnet 5 Jan 31, 2026, GPT-5.2 Aug 31, 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.