ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 vs Kimi K3 vs Claude Sonnet 5

Too close to call on our weighted score (Claude Sonnet 5 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. Moonshot AI

    Kimi K3

    Released Jul 16, 2026

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

    Claude Sonnet 5

    Released Jun 30, 2026

    66/100
    • ECI156.3
    • Price$2.00 / $10.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Claude Sonnet 5 66/100, Kimi K3 65/100, GPT-5.4 65/100), so choose by what matters most for your work: Kimi K3 for raw capability and Claude Sonnet 5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K3Capabilities Index (ECI): Kimi K3 157.6 · GPT-5.4 156.9 · Claude Sonnet 5 156.3
  • Lowest priceClaude Sonnet 5Claude Sonnet 5 $4.00 · GPT-5.4 $5.63 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 and Kimi K3GPT-5.4 1,050,000 · Kimi K3 1,048,576 · Claude Sonnet 5 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.4: Text, Images, PDFs · Kimi K3: Text, Images, Video · Claude Sonnet 5: Text, Images, PDFs
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.4Kimi K3Claude Sonnet 5
CapabilityCapabilities Index (ECI)50%878886
Price25%141321
Inputs & features15%808080
Context window10%616160
Overall100%65/10065/10066/100
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 Kimi K3 vs Claude Sonnet 5 specifications side by side
SpecificationGPT-5.4OpenAIKimi K3Moonshot AIClaude Sonnet 5Anthropic
Capability
Capabilities Index (ECI)156.9157.6 (best)156.3
ECI rank#16 of 148#13 of 148 (best)#23 of 148
GPQA DiamondGraduate-level science questions93.3% (best)93.1%90.5%
FrontierMath Tiers 1–3Research-level mathematics78.6% (best)72.2%65.6%
OTIS Mock AIME 2024–2025Competition mathematics97.8% (best)97.2%94.7%
SWE-bench VerifiedFixing real GitHub issues76.9%——
SimpleQA VerifiedShort factual questions45.1%50.6% (best)33.7%
Price per million tokens
Input$2.50$3.00$2.00 (best)
Output$15.00$15.00$10.00 (best)
Cached input$0.25$0.30$0.20 (best)
Blended (3:1)$5.63$6.00$4.00 (best)
Long-context rateOver 272K: $5.00 / $22.50Same rateSame rate
Price sourceOfficial OpenAI APIOfficial Moonshot AI APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhighYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-5.4kimi-k3claude-sonnet-5
API providers3668 (best)38
ReleasedMar 5, 2026Jul 16, 2026Jun 30, 2026
Knowledge cutoffAug 31, 2025—Jan 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$55.00
  • Kimi K3$60.00
  • Claude Sonnet 5$40.00
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 1 points (Claude Sonnet 5 66/100, Kimi K3 65/100, GPT-5.4 65/100), so choose by what matters most for your work: Kimi K3 for raw capability and Claude Sonnet 5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

Claude Sonnet 5 is cheaper at $2.00 input / $10.00 output per million tokens (official Anthropic API price). GPT-5.4 costs $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). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for Claude Sonnet 5 versus $5.63 for GPT-5.4 (1.4× as much) and $6.00 for Kimi K3 (1.5× as much).

Which scores higher on benchmarks?

Kimi K3 scores higher on the Capabilities Index (ECI): Kimi K3 157.6 (#13 of 148), GPT-5.4 156.9 (#16 of 148) and Claude Sonnet 5 156.3 (#23 of 148). The confidence ranges of the top two overlap (154.9–160.4 vs 154.9–159.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 93.3%, Kimi K3 93.1%, Claude Sonnet 5 90.5%; FrontierMath Tiers 1–3 — GPT-5.4 78.6%, Kimi K3 72.2%, Claude Sonnet 5 65.6%; OTIS Mock AIME 2024–2025 — GPT-5.4 97.8%, Kimi K3 97.2%, Claude Sonnet 5 94.7%; SimpleQA Verified — Kimi K3 50.6%, GPT-5.4 45.1%, Claude Sonnet 5 33.7%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K3 and Claude Sonnet 5 yet, so there is no like-for-like coding score. On overall capability, Kimi K3 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 Sonnet 5. Maximum output per response: GPT-5.4 up to 128,000, Kimi K3 up to 131,072, Claude Sonnet 5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 accepts text, images and PDFs; Kimi K3 accepts text, images and video; Claude Sonnet 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; GPT-5.4 and Claude Sonnet 5 is proprietary.

Which is newer?

Kimi K3 is the newest, released Jul 16, 2026. Claude Sonnet 5 came out Jun 30, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Aug 31, 2025, Claude Sonnet 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.