ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 vs Qwen3.8 Max vs Claude Sonnet 5

Qwen3.8 Max comes out ahead, 69 to 66 and 65 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.4

    Released Mar 5, 2026

    65/100
    • ECI156.9
    • Price$2.50 / $15.00
    • Context1.05M
  2. Our pick

    Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
  3. Anthropic

    Claude Sonnet 5

    Released Jun 30, 2026

    66/100
    • ECI156.3
    • Price$2.00 / $10.00
    • 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-5.4 (65). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4Capabilities Index (ECI): GPT-5.4 156.9 · Qwen3.8 Max 156.6 · Claude Sonnet 5 156.3
  • Lowest priceQwen3.8 MaxQwen3.8 Max $3.00 · Claude Sonnet 5 $4.00 · GPT-5.4 $5.63 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4GPT-5.4 1,050,000 · Qwen3.8 Max 1,000,000 · Claude Sonnet 5 1,000,000 tokens
  • Widest inputsQwen3.8 MaxGPT-5.4: Text, Images, PDFs · Qwen3.8 Max: Text, Images, PDFs, Video · Claude Sonnet 5: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.4Qwen3.8 MaxClaude Sonnet 5
CapabilityCapabilities Index (ECI)50%878686
Price25%142721
Inputs & features15%809080
Context window10%616060
Overall100%65/10069/10066/100
02 — Side by side

Every spec in one table

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

GPT-5.4 vs Qwen3.8 Max vs Claude Sonnet 5 specifications side by side
SpecificationGPT-5.4OpenAIQwen3.8 MaxAlibaba (Qwen)Claude Sonnet 5Anthropic
Capability
Capabilities Index (ECI)156.9 (best)156.6156.3
ECI rank#16 of 148 (best)#20 of 148#23 of 148
GPQA DiamondGraduate-level science questions93.3% (best)92.7%90.5%
FrontierMath Tiers 1–3Research-level mathematics78.6% (best)74.7%65.6%
OTIS Mock AIME 2024–2025Competition mathematics97.8%99.4% (best)94.7%
SWE-bench VerifiedFixing real GitHub issues76.9%——
SimpleQA VerifiedShort factual questions45.1%45.8% (best)33.7%
Price per million tokens
Input$2.50$2.00 (best)$2.00 (best)
Output$15.00$6.00 (best)$10.00
Cached input$0.25$0.25$0.20 (best)
Blended (3:1)$5.63$3.00 (best)$4.00
Long-context rateOver 272K: $5.00 / $22.50Same rateSame rate
Price sourceOfficial OpenAI APIOfficial Alibaba APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhighYeslow · medium · xhighYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.4qwen3.8-maxclaude-sonnet-5
API providers362538 (best)
ReleasedMar 5, 2026Aug 3, 2026Jun 30, 2026
Knowledge cutoffAug 31, 2025—Jan 31, 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-5.4$55.00
  • Qwen3.8 Max$32.00
  • Claude Sonnet 5$40.00
04 — Questions

Which should you choose?

Which is better: GPT-5.4, Qwen3.8 Max or Claude Sonnet 5?

Qwen3.8 Max is the better all-round choice, scoring 69/100 against Claude Sonnet 5 (66) and GPT-5.4 (65). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4, Qwen3.8 Max or Claude Sonnet 5?

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-5.4 costs $2.50 input / $15.00 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 $5.63 for GPT-5.4 (1.9× as much).

Which scores higher on benchmarks?

GPT-5.4 scores higher on the Capabilities Index (ECI): GPT-5.4 156.9 (#16 of 148), Qwen3.8 Max 156.6 (#20 of 148) and Claude Sonnet 5 156.3 (#23 of 148). The confidence ranges of the top two overlap (154.9–159.1 vs 154.5–158.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 93.3%, Qwen3.8 Max 92.7%, Claude Sonnet 5 90.5%; FrontierMath Tiers 1–3 — GPT-5.4 78.6%, Qwen3.8 Max 74.7%, Claude Sonnet 5 65.6%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 99.4%, GPT-5.4 97.8%, Claude Sonnet 5 94.7%; SimpleQA Verified — Qwen3.8 Max 45.8%, GPT-5.4 45.1%, Claude Sonnet 5 33.7%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 Max and Claude Sonnet 5 yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 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-5.4 has the largest context window at 1,050,000 tokens, against 1,000,000 for Qwen3.8 Max and 1,000,000 for Claude Sonnet 5. Maximum output per response: GPT-5.4 up to 128,000, Qwen3.8 Max up to 131,072, Claude Sonnet 5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 accepts text, images and PDFs; Qwen3.8 Max accepts text, images, PDFs and video; Claude Sonnet 5 accepts text, images and PDFs. Qwen3.8 Max handles the widest range of inputs.

Are any of these open source?

No. GPT-5.4, Qwen3.8 Max and Claude Sonnet 5 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-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Aug 31, 2025, Claude Sonnet 5 Jan 31, 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.