ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 vs Claude Opus 4.7 vs Kimi K3

Too close to call on our weighted score (Kimi K3 65, GPT-5.4 65, Claude Opus 4.7 62). 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. Anthropic

    Claude Opus 4.7

    Released Apr 16, 2026

    62/100
    • ECI156.4
    • Price$5.00 / $25.00
    • 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, GPT-5.4 65/100, Claude Opus 4.7 62/100), so choose by what matters most for your work: Kimi K3 for raw capability and GPT-5.4 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 Opus 4.7 156.4
  • Lowest priceGPT-5.4GPT-5.4 $5.63 · Kimi K3 $6.00 · Claude Opus 4.7 $10.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 and Kimi K3GPT-5.4 1,050,000 · Kimi K3 1,048,576 · Claude Opus 4.7 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.4: Text, Images, PDFs · Claude Opus 4.7: Text, Images, PDFs · Kimi K3: Text, Images, Video
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.4Claude Opus 4.7Kimi K3
CapabilityCapabilities Index (ECI)50%878688
Price25%14213
Inputs & features15%808080
Context window10%616061
Overall100%65/10062/10065/100
02 — Side by side

Every spec in one table

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

GPT-5.4 vs Claude Opus 4.7 vs Kimi K3 specifications side by side
SpecificationGPT-5.4OpenAIClaude Opus 4.7AnthropicKimi K3Moonshot AI
Capability
Capabilities Index (ECI)156.9156.4157.6 (best)
ECI rank#16 of 148#22 of 148#13 of 148 (best)
GPQA DiamondGraduate-level science questions93.3% (best)90.2%93.1%
FrontierMath Tiers 1–3Research-level mathematics78.6% (best)70.2%72.2%
OTIS Mock AIME 2024–2025Competition mathematics97.8%97.8% (best)97.2%
SWE-bench VerifiedFixing real GitHub issues76.9%83.5% (best)—
SimpleQA VerifiedShort factual questions45.1%51.7% (best)50.6%
Price per million tokens
Input$2.50 (best)$5.00$3.00
Output$15.00 (best)$25.00$15.00 (best)
Cached input$0.25 (best)$0.50$0.30
Blended (3:1)$5.63 (best)$10.00$6.00
Long-context rateOver 272K: $5.00 / $22.50Same 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
PDFsYesYesNo
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · high · xhighYeslow · medium · high · xhigh · maxYeslow · high · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-5.4claude-opus-4-7kimi-k3
API providers363868 (best)
ReleasedMar 5, 2026Apr 16, 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$55.00
  • Claude Opus 4.7$100.00
  • Kimi K3$60.00
04 — Questions

Which should you choose?

Which is better: GPT-5.4, Claude Opus 4.7 or Kimi K3?

It is close. Our weighted score puts them within a point (Kimi K3 65/100, GPT-5.4 65/100, Claude Opus 4.7 62/100), so choose by what matters most for your work: Kimi K3 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, GPT-5.4, Claude Opus 4.7 or Kimi K3?

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 Opus 4.7 costs $5.00 input / $25.00 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 $10.00 for Claude Opus 4.7 (1.8× 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 Opus 4.7 156.4 (#22 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 Opus 4.7 90.2%; FrontierMath Tiers 1–3 — GPT-5.4 78.6%, Kimi K3 72.2%, Claude Opus 4.7 70.2%; OTIS Mock AIME 2024–2025 — Claude Opus 4.7 97.8%, GPT-5.4 97.8%, Kimi K3 97.2%; SimpleQA Verified — Claude Opus 4.7 51.7%, 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 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 Opus 4.7. Maximum output per response: GPT-5.4 up to 128,000, Claude Opus 4.7 up to 128,000, Kimi K3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 accepts text, images and PDFs; Claude Opus 4.7 accepts text, images and PDFs; Kimi K3 accepts text, images and video. 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 Opus 4.7 is proprietary.

Which is newer?

Kimi K3 is the newest, released Jul 16, 2026. Claude Opus 4.7 came out Apr 16, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Aug 31, 2025, Claude Opus 4.7 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.