ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 Pro vs Claude Fable 5 vs Kimi K3

Too close to call on our weighted score (Kimi K3 65, Claude Fable 5 65, GPT-5.4 Pro 60). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.4 Pro

    Released Mar 5, 2026

    60/100
    • ECI159.1
    • Price$30.00 / $180.00
    • Context1.05M
  2. Anthropic

    Claude Fable 5

    Released Jun 9, 2026

    65/100
    • ECI162.2
    • 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 a point (Kimi K3 65/100, Claude Fable 5 65/100, GPT-5.4 Pro 60/100), so choose by what matters most for your work: Claude Fable 5 for raw capability and Kimi K3 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 · GPT-5.4 Pro 159.1 · Kimi K3 157.6
  • Lowest priceKimi K3Kimi K3 $6.00 · Claude Fable 5 $20.00 · GPT-5.4 Pro $67.50 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 Pro and Kimi K3GPT-5.4 Pro 1,050,000 · Kimi K3 1,048,576 · Claude Fable 5 1,000,000 tokens
  • Widest inputsClaude Fable 5 and Kimi K3GPT-5.4 Pro: Text, Images · Claude Fable 5: Text, Images, PDFs · Kimi K3: Text, Images, Video
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.4 ProClaude Fable 5Kimi K3
CapabilityCapabilities Index (ECI)50%909488
Price25%0013
Inputs & features15%608080
Context window10%616061
Overall100%60/10065/10065/100
02 — Side by side

Every spec in one table

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

GPT-5.4 Pro vs Claude Fable 5 vs Kimi K3 specifications side by side
SpecificationGPT-5.4 ProOpenAIClaude Fable 5AnthropicKimi K3Moonshot AI
Capability
Capabilities Index (ECI)159.1162.2 (best)157.6
ECI rank#11 of 148#7 of 148 (best)#13 of 148
GPQA DiamondGraduate-level science questions94.6% (best)85.9%93.1%
FrontierMath Tiers 1–3Research-level mathematics82.5%87.0% (best)72.2%
OTIS Mock AIME 2024–2025Competition mathematics—100% (best)97.2%
SimpleQA VerifiedShort factual questions46.3%70.7% (best)50.6%
Price per million tokens
Input$30.00$10.00$3.00 (best)
Output$180.00$50.00$15.00 (best)
Cached input—$1.00$0.30 (best)
Blended (3:1)$67.50$20.00$6.00 (best)
Long-context rateOver 272K: $60.00 / $270.00Same 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
PDFsNoYesNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesmedium · high · xhighYeslow · medium · high · xhigh · maxYeslow · high · max
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-5.4-proclaude-fable-5kimi-k3
API providers163868 (best)
ReleasedMar 5, 2026Jun 9, 2026Jul 16, 2026
Knowledge cutoffAug 31, 2025Jan 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 Pro$660.00
  • Claude Fable 5$200.00
  • Kimi K3$60.00
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within a point (Kimi K3 65/100, Claude Fable 5 65/100, GPT-5.4 Pro 60/100), so choose by what matters most for your work: Claude Fable 5 for raw capability and Kimi K3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4 Pro, Claude Fable 5 or Kimi K3?

Kimi K3 is cheaper at $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); 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 $6.00 per million tokens for Kimi K3 versus $20.00 for Claude Fable 5 (3.3× as much) and $67.50 for GPT-5.4 Pro (11× 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 Kimi K3 157.6 (#13 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%, Kimi K3 93.1%, Claude Fable 5 85.9%; FrontierMath Tiers 1–3 — Claude Fable 5 87.0%, GPT-5.4 Pro 82.5%, Kimi K3 72.2%; SimpleQA Verified — Claude Fable 5 70.7%, Kimi K3 50.6%, GPT-5.4 Pro 46.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 Pro, Claude Fable 5 and Kimi K3 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 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: GPT-5.4 Pro up to 128,000, Claude Fable 5 up to 128,000, Kimi K3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 Pro accepts text and images; Claude Fable 5 accepts text, images and PDFs; Kimi K3 accepts text, images and video. Claude Fable 5 handles the widest range of inputs.

Are any of these open source?

Kimi K3 publishes its weights and can be self-hosted; GPT-5.4 Pro and Claude Fable 5 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 Pro came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Pro Aug 31, 2025, Claude Fable 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.