ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Kimi K3 vs Claude Fable 5 vs GPT-5.4

Too close to call on our weighted score (Kimi K3 65, GPT-5.4 65, Claude Fable 5 65). The right pick depends on what you value most.

  1. Moonshot AI

    Kimi K3

    Released Jul 16, 2026

    65/100
    • ECI157.6
    • Price$3.00 / $15.00
    • Context1.05M
  2. Anthropic

    Claude Fable 5

    Released Jun 9, 2026

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

    GPT-5.4

    Released Mar 5, 2026

    65/100
    • ECI156.9
    • Price$2.50 / $15.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Kimi K3 65/100, GPT-5.4 65/100, Claude Fable 5 65/100), so choose by what matters most for your work: Claude Fable 5 for raw capability and GPT-5.4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Fable 5Capabilities Index (ECI): Claude Fable 5 162.2 · Kimi K3 157.6 · GPT-5.4 156.9
  • Lowest priceGPT-5.4GPT-5.4 $5.63 · Kimi K3 $6.00 · Claude Fable 5 $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 1,000,000 tokens
  • Widest inputsSame inputsKimi K3: Text, Images, Video · Claude Fable 5: Text, Images, PDFs · GPT-5.4: Text, Images, PDFs
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightKimi K3Claude Fable 5GPT-5.4
CapabilityCapabilities Index (ECI)50%889487
Price25%13014
Inputs & features15%808080
Context window10%616061
Overall100%65/10065/10065/100
02 — Side by side

Every spec in one table

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

Kimi K3 vs Claude Fable 5 vs GPT-5.4 specifications side by side
SpecificationKimi K3Moonshot AIClaude Fable 5AnthropicGPT-5.4OpenAI
Capability
Capabilities Index (ECI)157.6162.2 (best)156.9
ECI rank#13 of 148#7 of 148 (best)#16 of 148
GPQA DiamondGraduate-level science questions93.1%85.9%93.3% (best)
FrontierMath Tiers 1–3Research-level mathematics72.2%87.0% (best)78.6%
OTIS Mock AIME 2024–2025Competition mathematics97.2%100% (best)97.8%
SWE-bench VerifiedFixing real GitHub issues——76.9%
SimpleQA VerifiedShort factual questions50.6%70.7% (best)45.1%
Price per million tokens
Input$3.00$10.00$2.50 (best)
Output$15.00 (best)$50.00$15.00 (best)
Cached input$0.30$1.00$0.25 (best)
Blended (3:1)$6.00$20.00$5.63 (best)
Long-context rateSame rateSame rateOver 272K: $5.00 / $22.50
Price sourceOfficial Moonshot AI APIOfficial Anthropic APIOfficial OpenAI API
Limits
Context window1,048,576 tokens1,000,000 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesYes
AudioNoNoNo
VideoYesNoNo
ReasoningYeslow · high · maxYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDkimi-k3claude-fable-5gpt-5.4
API providers68 (best)3836
ReleasedJul 16, 2026Jun 9, 2026Mar 5, 2026
Knowledge cutoff—Jan 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.

  • Kimi K3$60.00
  • Claude Fable 5$200.00
  • GPT-5.4$55.00
04 — Questions

Which should you choose?

Which is better: Kimi K3, Claude Fable 5 or GPT-5.4?

It is close. Our weighted score puts them within a point (Kimi K3 65/100, GPT-5.4 65/100, Claude Fable 5 65/100), so choose by what matters most for your work: Claude Fable 5 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, Kimi K3, Claude Fable 5 or GPT-5.4?

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 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 (3.6× 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), Kimi K3 157.6 (#13 of 148) and GPT-5.4 156.9 (#16 of 148). The confidence ranges of the top two overlap (159.6–166.1 vs 154.9–160.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 93.3%, Kimi K3 93.1%, Claude Fable 5 85.9%; FrontierMath Tiers 1–3 — Claude Fable 5 87.0%, GPT-5.4 78.6%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — Claude Fable 5 100%, GPT-5.4 97.8%, Kimi K3 97.2%; SimpleQA Verified — Claude Fable 5 70.7%, Kimi K3 50.6%, GPT-5.4 45.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K3 and Claude Fable 5 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 and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Fable 5. Maximum output per response: Kimi K3 up to 131,072, Claude Fable 5 up to 128,000, GPT-5.4 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K3 accepts text, images and video; Claude Fable 5 accepts text, images and PDFs; GPT-5.4 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

Kimi K3 publishes its weights and can be self-hosted; Claude Fable 5 and GPT-5.4 is proprietary.

Which is newer?

Kimi K3 is the newest, released Jul 16, 2026. Claude Fable 5 came out Jun 9, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: Claude Fable 5 Jan 31, 2026, GPT-5.4 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.