ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 vs Claude Fable 5.1 vs Kimi K3

Too close to call on our weighted score (Claude Fable 5.1 66, Kimi K3 65, GPT-5.4 65). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.4

    Released Mar 5, 2026

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

    Claude Fable 5.1

    Released Sep 1, 2026

    66/100
    • ECI164.8
    • Price$10.00 / $50.00
    • Context1M
  3. Moonshot AI

    Kimi K3

    Released Jul 16, 2026

    65/100
    • ECI157.6
    • Price$3.00 / $15.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Claude Fable 5.1 66/100, Kimi K3 65/100, GPT-5.4 65/100), so choose by what matters most for your work: Claude Fable 5.1 for raw capability and GPT-5.4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Fable 5.1Capabilities Index (ECI): Claude Fable 5.1 164.8 · Kimi K3 157.6 · GPT-5.4 156.9
  • Lowest priceGPT-5.4GPT-5.4 $5.63 · Kimi K3 $6.00 · Claude Fable 5.1 $20.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 and Kimi K3GPT-5.4 1,050,000 · Kimi K3 1,048,576 · Claude Fable 5.1 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.4: Text, Images, PDFs · Claude Fable 5.1: Text, Images, PDFs · Kimi K3: Text, Images, Video
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.4Claude Fable 5.1Kimi K3
CapabilityCapabilities Index (ECI)50%879788
Price25%14013
Inputs & features15%808080
Context window10%616061
Overall100%65/10066/10065/100
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 Claude Fable 5.1 vs Kimi K3 specifications side by side
SpecificationGPT-5.4OpenAIClaude Fable 5.1AnthropicKimi K3Moonshot AI
Capability
Capabilities Index (ECI)156.9164.8 (best)157.6
ECI rank#16 of 148#4 of 148 (best)#13 of 148
GPQA DiamondGraduate-level science questions93.3% (best)—93.1%
FrontierMath Tiers 1–3Research-level mathematics78.6%90.2% (best)72.2%
OTIS Mock AIME 2024–2025Competition mathematics97.8%100% (best)97.2%
SWE-bench VerifiedFixing real GitHub issues76.9%——
SimpleQA VerifiedShort factual questions45.1%70.8% (best)50.6%
Price per million tokens
Input$2.50 (best)$10.00$3.00
Output$15.00 (best)$50.00$15.00 (best)
Cached input$0.25 (best)$0.25 (best)$0.30
Blended (3:1)$5.63 (best)$20.00$6.00
Long-context rateOver 272K: $5.00 / $22.50Same rateSame rate
Price sourceOfficial OpenAI APIOfficial Anthropic APIOfficial Moonshot AI API
Limits
Context window1,050,000 tokens (best)1,000,000 tokens1,048,576 tokens
Max output128,000 tokens128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · high · xhighYeslow · medium · high · xhigh · maxYeslow · high · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-5.4claude-fable-5-1kimi-k3
API providers362968 (best)
ReleasedMar 5, 2026Sep 1, 2026Jul 16, 2026
Knowledge cutoffAug 31, 2025Jun 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
  • Claude Fable 5.1$200.00
  • Kimi K3$60.00
04 — Questions

Which should you choose?

Which is better: GPT-5.4, Claude Fable 5.1 or Kimi K3?

It is close. Our weighted score puts them within 1 points (Claude Fable 5.1 66/100, Kimi K3 65/100, GPT-5.4 65/100), so choose by what matters most for your work: Claude Fable 5.1 for raw capability and GPT-5.4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4, Claude Fable 5.1 or Kimi K3?

GPT-5.4 is cheaper at $2.50 input / $15.00 output per million tokens (official OpenAI API price). Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price); Claude Fable 5.1 costs $10.00 input / $50.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $5.63 per million tokens for GPT-5.4 versus $6.00 for Kimi K3 (1.1× as much) and $20.00 for Claude Fable 5.1 (3.6× as much).

Which scores higher on benchmarks?

Claude Fable 5.1 scores higher on the Capabilities Index (ECI): Claude Fable 5.1 164.8 (#4 of 148), Kimi K3 157.6 (#13 of 148) and GPT-5.4 156.9 (#16 of 148). Their confidence ranges do not overlap (161.8–169.1 vs 154.9–160.4), so the gap is a real one. On individual benchmarks: FrontierMath Tiers 1–3 — Claude Fable 5.1 90.2%, GPT-5.4 78.6%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — Claude Fable 5.1 100%, GPT-5.4 97.8%, Kimi K3 97.2%; SimpleQA Verified — Claude Fable 5.1 70.8%, Kimi K3 50.6%, GPT-5.4 45.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Fable 5.1 and Kimi K3 yet, so there is no like-for-like coding score. On overall capability, Claude Fable 5.1 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 and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Fable 5.1. Maximum output per response: GPT-5.4 up to 128,000, Claude Fable 5.1 up to 128,000, Kimi K3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 accepts text, images and PDFs; Claude Fable 5.1 accepts text, images and PDFs; Kimi K3 accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Kimi K3 publishes its weights and can be self-hosted; GPT-5.4 and Claude Fable 5.1 is proprietary.

Which is newer?

Claude Fable 5.1 is the newest, released Sep 1, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Aug 31, 2025, Claude Fable 5.1 Jun 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.