ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.6 Sol vs Kimi K3 vs Claude Opus 5

Too close to call on our weighted score (GPT-5.6 Sol 66, Claude Opus 5 66, Kimi K3 65). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI161.8
    • Price$4.00 / $20.00
    • 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 Opus 5

    Released Jul 24, 2026

    66/100
    • ECI162.9
    • Price$5.00 / $25.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GPT-5.6 Sol 66/100, Claude Opus 5 66/100, Kimi K3 65/100), so choose by what matters most for your work: Claude Opus 5 for raw capability and Kimi K3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5Capabilities Index (ECI): Claude Opus 5 162.9 · GPT-5.6 Sol 161.8 · Kimi K3 157.6
  • Lowest priceKimi K3Kimi K3 $6.00 · GPT-5.6 Sol $8.00 · Claude Opus 5 $10.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 Sol and Kimi K3GPT-5.6 Sol 1,050,000 · Kimi K3 1,048,576 · Claude Opus 5 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.6 Sol: Text, Images, PDFs · Kimi K3: Text, Images, Video · Claude Opus 5: Text, Images, PDFs
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.6 SolKimi K3Claude Opus 5
CapabilityCapabilities Index (ECI)50%938894
Price25%7132
Inputs & features15%808080
Context window10%616160
Overall100%66/10065/10066/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Sol vs Kimi K3 vs Claude Opus 5 specifications side by side
SpecificationGPT-5.6 SolOpenAIKimi K3Moonshot AIClaude Opus 5Anthropic
Capability
Capabilities Index (ECI)161.8157.6162.9 (best)
ECI rank#8 of 148#13 of 148#5 of 148 (best)
GPQA DiamondGraduate-level science questions93.5%93.1%93.9% (best)
FrontierMath Tiers 1–3Research-level mathematics89.1% (best)72.2%85.6%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)97.2%98.9%
SimpleQA VerifiedShort factual questions69.7% (best)50.6%59.9%
Price per million tokens
Input$4.00$3.00 (best)$5.00
Output$20.00$15.00 (best)$25.00
Cached input$0.40$0.30 (best)$0.50
Blended (3:1)$8.00$6.00 (best)$10.00
Long-context rateOver 272K: $8.00 / $30.00Same 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 · xhigh · maxYeslow · high · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-5.6-solkimi-k3claude-opus-5
API providers4068 (best)35
ReleasedJul 9, 2026Jul 16, 2026Jul 24, 2026
Knowledge cutoffFeb 16, 2026—May 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-5.6 Sol$80.00
  • Kimi K3$60.00
  • Claude Opus 5$100.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol, Kimi K3 or Claude Opus 5?

It is close. Our weighted score puts them within a point (GPT-5.6 Sol 66/100, Claude Opus 5 66/100, Kimi K3 65/100), so choose by what matters most for your work: Claude Opus 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-5.6 Sol, Kimi K3 or Claude Opus 5?

Kimi K3 is cheaper at $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price); Claude Opus 5 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 $6.00 per million tokens for Kimi K3 versus $8.00 for GPT-5.6 Sol (1.3× as much) and $10.00 for Claude Opus 5 (1.7× as much).

Which scores higher on benchmarks?

Claude Opus 5 scores higher on the Capabilities Index (ECI): Claude Opus 5 162.9 (#5 of 148), GPT-5.6 Sol 161.8 (#8 of 148) and Kimi K3 157.6 (#13 of 148). The confidence ranges of the top two overlap (160.2–166.7 vs 159.3–165.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Opus 5 93.9%, GPT-5.6 Sol 93.5%, Kimi K3 93.1%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Claude Opus 5 85.6%, Kimi K3 72.2%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Claude Opus 5 98.9%, Kimi K3 97.2%; SimpleQA Verified — GPT-5.6 Sol 69.7%, Claude Opus 5 59.9%, Kimi K3 50.6%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol, Kimi K3 and Claude Opus 5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 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-5.6 Sol and Kimi K3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Opus 5. Maximum output per response: GPT-5.6 Sol up to 128,000, Kimi K3 up to 131,072, Claude Opus 5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol accepts text, images and PDFs; Kimi K3 accepts text, images and video; Claude Opus 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-5.6 Sol and Claude Opus 5 is proprietary.

Which is newer?

Claude Opus 5 is the newest, released Jul 24, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026, Claude Opus 5 May 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.