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Comparison · 2 models · Updated Nov 2, 2026

Kimi K3 vs Claude Haiku 5.5

Claude Haiku 5.5 comes out ahead, 83 to 65 on our weighted score, and it is the cheaper option too.

  1. Moonshot AI

    Kimi K3

    Released Jul 16, 2026

    65/100
    • ECI158.3
    • Price$3.00 / $15.00
    • Context1.05M
    Full specs Remove Kimi K3
  2. Our pick

    Anthropic

    Claude Haiku 5.5

    Released Oct 7, 2026New

    83/100
    • ECI160.4
    • Price$0.10 / $0.50
    • Context1M
    Full specs Remove Claude Haiku 5.5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 5.5 is our pick

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Kimi K3 (65). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · Kimi K3 158.3
  • Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K3Kimi K3 1,048,576 · Claude Haiku 5.5 1,000,000 tokens
  • Widest inputsSame inputsKimi K3: Text, Images, Video · Claude Haiku 5.5: Text, Images, PDFs
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightKimi K3Claude Haiku 5.5
CapabilityCapabilities Index (ECI)50%8789
Price25%1280
Inputs & features15%8080
Context window10%6160
Overall100%65/10083/100
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 Haiku 5.5 specifications side by side
SpecificationKimi K3Moonshot AIClaude Haiku 5.5Anthropic
Capability
Capabilities Index (ECI)158.3160.4 (best)
ECI rank#20 of 165#14 of 165 (best)
GPQA DiamondGraduate-level science questions93.1% (best)89.7%
FrontierMath Tiers 1–3Research-level mathematics72.2%75.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics97.2%98.9% (best)
SimpleQA VerifiedShort factual questions50.6% (best)23.8%
Price per million tokens
Input$3.00$0.10 (best)
Output$15.00$0.50 (best)
Cached input$0.30$0.01 (best)
Blended (3:1)$6.00$0.20 (best)
Long-context rateSame rateOver 100K: $0.50 / $2.50
Price sourceOfficial Moonshot AI APIOfficial Anthropic API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoYesNo
ReasoningYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDkimi-k3claude-haiku-5-5
API providers76 (best)33
ReleasedJul 16, 2026Oct 7, 2026
Knowledge cutoff—Jun 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.

  • Kimi K3$60.00
  • Claude Haiku 5.5$2.00
04 — Questions

Which should you choose?

Which is better: Kimi K3 or Claude Haiku 5.5?

Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Kimi K3 (65). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K3 or Claude Haiku 5.5?

Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Claude Haiku 5.5 versus $6.00 for Kimi K3 (30× as much).

Which scores higher on benchmarks?

Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165) and Kimi K3 158.3 (#20 of 165). The confidence ranges of the top two overlap (157.3–163.8 vs 155.8–161.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K3 93.1%, Claude Haiku 5.5 89.7%; FrontierMath Tiers 1–3 — Claude Haiku 5.5 75.1%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — Claude Haiku 5.5 98.9%, Kimi K3 97.2%; SimpleQA Verified — Kimi K3 50.6%, Claude Haiku 5.5 23.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K3 and Claude Haiku 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 5.5 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Kimi K3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Claude Haiku 5.5. Maximum output per response: Kimi K3 up to 131,072, Claude Haiku 5.5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K3 accepts text, images and video; Claude Haiku 5.5 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 Haiku 5.5 is proprietary.

Which is newer?

Claude Haiku 5.5 is the newest, released Oct 7, 2026. Kimi K3 came out Jul 16, 2026. Knowledge cutoff: Claude Haiku 5.5 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 Nov 2, 2026.

05 — Keep comparing

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