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Comparison · 3 models · Updated Oct 4, 2026

Claude Fable 5 vs GPT-5.4 Pro vs Qwen3.8 Max

Qwen3.8 Max comes out ahead, 69 to 65 and 60 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Fable 5

    Released Jun 9, 2026

    65/100
    • ECI162.2
    • Price$10.00 / $50.00
    • Context1M
  2. OpenAI

    GPT-5.4 Pro

    Released Mar 5, 2026

    60/100
    • ECI159.1
    • Price$30.00 / $180.00
    • Context1.05M
  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 Fable 5 (65) and GPT-5.4 Pro (60). It leads on price and inputs & features. Claude Fable 5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Fable 5Capabilities Index (ECI): Claude Fable 5 162.2 · GPT-5.4 Pro 159.1 · Qwen3.8 Max 156.6
  • Lowest priceQwen3.8 MaxQwen3.8 Max $3.00 · Claude Fable 5 $20.00 · GPT-5.4 Pro $67.50 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 ProGPT-5.4 Pro 1,050,000 · Claude Fable 5 1,000,000 · Qwen3.8 Max 1,000,000 tokens
  • Widest inputsQwen3.8 MaxClaude Fable 5: Text, Images, PDFs · GPT-5.4 Pro: 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 Fable 5GPT-5.4 ProQwen3.8 Max
CapabilityCapabilities Index (ECI)50%949086
Price25%0027
Inputs & features15%806090
Context window10%606160
Overall100%65/10060/10069/100
02 — Side by side

Every spec in one table

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

Claude Fable 5 vs GPT-5.4 Pro vs Qwen3.8 Max specifications side by side
SpecificationClaude Fable 5AnthropicGPT-5.4 ProOpenAIQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)162.2 (best)159.1156.6
ECI rank#7 of 148 (best)#11 of 148#20 of 148
GPQA DiamondGraduate-level science questions85.9%94.6% (best)92.7%
FrontierMath Tiers 1–3Research-level mathematics87.0% (best)82.5%74.7%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)—99.4%
SimpleQA VerifiedShort factual questions70.7% (best)46.3%45.8%
Price per million tokens
Input$10.00$30.00$2.00 (best)
Output$50.00$180.00$6.00 (best)
Cached input$1.00—$0.25 (best)
Blended (3:1)$20.00$67.50$3.00 (best)
Long-context rateSame rateOver 272K: $60.00 / $270.00Same rate
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial Alibaba API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)1,000,000 tokens
Max output128,000 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · high · xhigh · maxYesmedium · high · xhighYeslow · medium · xhigh
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-fable-5gpt-5.4-proqwen3.8-max
API providers38 (best)1625
ReleasedJun 9, 2026Mar 5, 2026Aug 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 Fable 5$200.00
  • GPT-5.4 Pro$660.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

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

Qwen3.8 Max is the better all-round choice, scoring 69/100 against Claude Fable 5 (65) and GPT-5.4 Pro (60). It leads on price and inputs & features. Claude Fable 5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). Claude Fable 5 costs $10.00 input / $50.00 output per million tokens (official Anthropic API price); GPT-5.4 Pro costs $30.00 input / $180.00 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 $20.00 for Claude Fable 5 (6.7× as much) and $67.50 for GPT-5.4 Pro (23× as much).

Which scores higher on benchmarks?

Claude Fable 5 scores higher on the Capabilities Index (ECI): Claude Fable 5 162.2 (#7 of 148), GPT-5.4 Pro 159.1 (#11 of 148) and Qwen3.8 Max 156.6 (#20 of 148). The confidence ranges of the top two overlap (159.6–166.1 vs 156.5–161.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 Pro 94.6%, Qwen3.8 Max 92.7%, Claude Fable 5 85.9%; FrontierMath Tiers 1–3 — Claude Fable 5 87.0%, GPT-5.4 Pro 82.5%, Qwen3.8 Max 74.7%; SimpleQA Verified — Claude Fable 5 70.7%, GPT-5.4 Pro 46.3%, Qwen3.8 Max 45.8%.

Which is better for coding?

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

Which can read images, PDFs, audio or video?

Claude Fable 5 accepts text, images and PDFs; GPT-5.4 Pro 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 Fable 5, GPT-5.4 Pro 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 Fable 5 came out Jun 9, 2026; GPT-5.4 Pro came out Mar 5, 2026. Knowledge cutoff: Claude Fable 5 Jan 31, 2026, GPT-5.4 Pro 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.