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Comparison · 3 models · Updated Oct 4, 2026

Claude Fable 5.1 vs Kimi K3 vs GPT-6 Astra

Too close to call on our weighted score (GPT-6 Astra 68, Claude Fable 5.1 66, Kimi K3 65). The right pick depends on what you value most.

  1. Anthropic

    Claude Fable 5.1

    Released Sep 1, 2026

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

    Kimi K3

    Released Jul 16, 2026

    65/100
    • ECI157.6
    • Price$3.00 / $15.00
    • Context1.05M
  3. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026

    68/100
    • ECI166.5
    • Price$10.00 / $50.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Claude Fable 5.1 66/100, Kimi K3 65/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Kimi K3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 166.5 · Claude Fable 5.1 164.8 · Kimi K3 157.6
  • Lowest priceKimi K3Kimi K3 $6.00 · Claude Fable 5.1 $20.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 Astra and Kimi K3GPT-6 Astra 1,050,000 · Kimi K3 1,048,576 · Claude Fable 5.1 1,000,000 tokens
  • Widest inputsSame inputsClaude Fable 5.1: Text, Images, PDFs · Kimi K3: Text, Images, Video · GPT-6 Astra: Text, Images, PDFs
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightClaude Fable 5.1Kimi K3GPT-6 Astra
CapabilityCapabilities Index (ECI)50%978899
Price25%0130
Inputs & features15%808080
Context window10%606161
Overall100%66/10065/10068/100
02 — Side by side

Every spec in one table

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

Claude Fable 5.1 vs Kimi K3 vs GPT-6 Astra specifications side by side
SpecificationClaude Fable 5.1AnthropicKimi K3Moonshot AIGPT-6 AstraOpenAI
Capability
Capabilities Index (ECI)164.8157.6166.5 (best)
ECI rank#4 of 148#13 of 148#2 of 148 (best)
GPQA DiamondGraduate-level science questions—93.1%95.8% (best)
FrontierMath Tiers 1–3Research-level mathematics90.2%72.2%93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics100% (best)97.2%100% (best)
SimpleQA VerifiedShort factual questions70.8%50.6%75.6% (best)
Price per million tokens
Input$10.00$3.00 (best)$10.00
Output$50.00$15.00 (best)$50.00
Cached input$0.25 (best)$0.30$1.00
Blended (3:1)$20.00$6.00 (best)$20.00
Long-context rateSame rateSame rateOver 272K: $20.00 / $75.00
Price sourceOfficial Anthropic APIOfficial Moonshot AI APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,048,576 tokens1,050,000 tokens (best)
Max output128,000 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhigh · maxYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDclaude-fable-5-1kimi-k3gpt-6-astra
API providers2968 (best)26
ReleasedSep 1, 2026Jul 16, 2026Sep 4, 2026
Knowledge cutoffJun 2026—Apr 30, 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.

  • Claude Fable 5.1$200.00
  • Kimi K3$60.00
  • GPT-6 Astra$200.00
04 — Questions

Which should you choose?

Which is better: Claude Fable 5.1, Kimi K3 or GPT-6 Astra?

It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Claude Fable 5.1 66/100, Kimi K3 65/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Kimi K3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Fable 5.1, Kimi K3 or GPT-6 Astra?

Kimi K3 is cheaper at $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); GPT-6 Astra costs $10.00 input / $50.00 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 5.1 (3.3× as much) and $20.00 for GPT-6 Astra (3.3× as much).

Which scores higher on benchmarks?

GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 166.5 (#2 of 148), Claude Fable 5.1 164.8 (#4 of 148) and Kimi K3 157.6 (#13 of 148). The confidence ranges of the top two overlap (163.1–171.1 vs 161.8–169.1), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Claude Fable 5.1 90.2%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — Claude Fable 5.1 100%, GPT-6 Astra 100%, Kimi K3 97.2%; SimpleQA Verified — GPT-6 Astra 75.6%, Claude Fable 5.1 70.8%, Kimi K3 50.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Fable 5.1, Kimi K3 and GPT-6 Astra yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra 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-6 Astra 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: Claude Fable 5.1 up to 128,000, Kimi K3 up to 131,072, GPT-6 Astra up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Fable 5.1 accepts text, images and PDFs; Kimi K3 accepts text, images and video; GPT-6 Astra 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 5.1 and GPT-6 Astra is proprietary.

Which is newer?

GPT-6 Astra is the newest, released Sep 4, 2026. Claude Fable 5.1 came out Sep 1, 2026; Kimi K3 came out Jul 16, 2026. Knowledge cutoff: Claude Fable 5.1 Jun 2026, GPT-6 Astra Apr 30, 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.