GPT-5.4 vs Claude Sonnet 5 vs Kimi K3
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.
OpenAI
GPT-5.4
65/100- ECI156.9
- Price$2.50 / $15.00
- Context1.05M
Anthropic
Claude Sonnet 5
66/100- ECI156.3
- Price$2.00 / $10.00
- Context1M
Moonshot AI
Kimi K3
65/100- ECI157.6
- Price$3.00 / $15.00
- Context1.05M
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 · Claude Sonnet 5: Text, Images, PDFs · Kimi K3: Text, Images, Video
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | GPT-5.4 | Claude Sonnet 5 | Kimi K3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 86 | 88 |
| Price | 25% | 14 | 21 | 13 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 61 | 60 | 61 |
| Overall | 100% | 65/100 | 66/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.9 | 156.3 | 157.6 (best) |
| ECI rank | #16 of 148 | #23 of 148 | #13 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 93.3% (best) | 90.5% | 93.1% |
| FrontierMath Tiers 1–3Research-level mathematics | 78.6% (best) | 65.6% | 72.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 97.8% (best) | 94.7% | 97.2% |
| SWE-bench VerifiedFixing real GitHub issues | 76.9% | — | — |
| SimpleQA VerifiedShort factual questions | 45.1% | 33.7% | 50.6% (best) |
| Price per million tokens | |||
| Input | $2.50 | $2.00 (best) | $3.00 |
| Output | $15.00 | $10.00 (best) | $15.00 |
| Cached input | $0.25 | $0.20 (best) | $0.30 |
| Blended (3:1) | $5.63 | $4.00 (best) | $6.00 |
| Long-context rate | Over 272K: $5.00 / $22.50 | Same rate | Same rate |
| Price source | Official OpenAI API | Official Anthropic API | Official Moonshot AI API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,000,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh · max | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.4 | claude-sonnet-5 | kimi-k3 |
| API providers | 36 | 38 | 68 (best) |
| Released | Mar 5, 2026 | Jun 30, 2026 | Jul 16, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Jan 31, 2026 | — |
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 Sonnet 5$40.00
Kimi K3$60.00
Which should you choose?
Which is better: GPT-5.4, Claude Sonnet 5 or Kimi K3?
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, Claude Sonnet 5 or Kimi K3?
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 Claude Sonnet 5 and 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 Sonnet 5. Maximum output per response: GPT-5.4 up to 128,000, Claude Sonnet 5 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 Sonnet 5 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 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.