Kimi K3 vs Grok 4.7 vs GPT-5.4
Too close to call on our weighted score (Grok 4.7 61, GPT-5.4 61, Kimi K3 60). The right pick depends on what you value most.
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.7 61/100, GPT-5.4 61/100, Kimi K3 60/100), so choose by what matters most for your work: GPT-5.4 for raw capability and Grok 4.7 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
- CapabilityGPT-5.4Shared benchmarks: GPT-5.4 78.7% · Kimi K3 78.3% · Grok 4.7 74.9%
- Lowest priceGrok 4.7Grok 4.7 $3.00 · 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 · Grok 4.7 500,000 tokens
- Widest inputsSame inputsKimi K3: Text, Images, Video · Grok 4.7: Text, Images, PDFs · GPT-5.4: Text, Images, PDFs
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | Kimi K3 | Grok 4.7 | GPT-5.4 |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 78 | 75 | 79 |
| Price | 25% | 13 | 27 | 14 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 61 | 48 | 61 |
| Overall | 100% | 60/100 | 61/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification |  Kimi K3Moonshot AI |  Grok 4.7xAI |  GPT-5.4OpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 157.6 (best) | — | 156.9 |
| ECI rank | #13 of 148 (best) | — | #16 of 148 |
| GPQA DiamondGraduate-level science questions | 93.1% | 92.7% | 93.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 72.2% | 53.0% | 78.6% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 97.2% | 98.1% (best) | 97.8% |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 76.9% |
| SimpleQA VerifiedShort factual questions | 50.6% | 56.0% (best) | 45.1% |
| Price per million tokens | |||
| Input | $3.00 | $2.00 (best) | $2.50 |
| Output | $15.00 | $6.00 (best) | $15.00 |
| Cached input | $0.30 | $0.50 | $0.25 (best) |
| Blended (3:1) | $6.00 | $3.00 (best) | $5.63 |
| Long-context rate | Same rate | Over 200K: $4.00 / $12.00 | Over 272K: $5.00 / $22.50 |
| Price source | Official Moonshot AI API | Official xAI API | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens | 500,000 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens | 500,000 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | kimi-k3 | grok-4.7 | gpt-5.4 |
| API providers | 68 (best) | 17 | 36 |
| Released | Jul 16, 2026 | Sep 21, 2026 | Mar 5, 2026 |
| Knowledge cutoff | — | May 2026 | Aug 31, 2025 |
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
- Grok 4.7$32.00
- GPT-5.4$55.00
Which should you choose?
Which is better: Kimi K3, Grok 4.7 or GPT-5.4?
It is close. Our weighted score puts them within a point (Grok 4.7 61/100, GPT-5.4 61/100, Kimi K3 60/100), so choose by what matters most for your work: GPT-5.4 for raw capability and Grok 4.7 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
Which is cheaper, Kimi K3, Grok 4.7 or GPT-5.4?
Grok 4.7 is cheaper at $2.00 input / $6.00 output per million tokens (official xAI 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 $3.00 per million tokens for Grok 4.7 versus $5.63 for GPT-5.4 (1.9× as much) and $6.00 for Kimi K3 (2× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): GPT-5.4 78.7%, Kimi K3 78.3% and Grok 4.7 74.9%. On individual benchmarks: GPQA Diamond — GPT-5.4 93.3%, Kimi K3 93.1%, Grok 4.7 92.7%; FrontierMath Tiers 1–3 — GPT-5.4 78.6%, Kimi K3 72.2%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — Grok 4.7 98.1%, GPT-5.4 97.8%, Kimi K3 97.2%; SimpleQA Verified — Grok 4.7 56.0%, 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 and Grok 4.7 yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 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 500,000 for Grok 4.7. Maximum output per response: Kimi K3 up to 131,072, Grok 4.7 up to 500,000, GPT-5.4 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K3 accepts text, images and video; Grok 4.7 accepts text, images and PDFs; GPT-5.4 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; Grok 4.7 and GPT-5.4 is proprietary.
Which is newer?
Grok 4.7 is the newest, released Sep 21, 2026. Kimi K3 came out Jul 16, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: Grok 4.7 May 2026, GPT-5.4 Aug 31, 2025.
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.
