GPT-5.2 vs Grok 4.3 vs Kimi K2.7 Code
Too close to call on our weighted score (Grok 4.3 67, Kimi K2.7 Code 64, GPT-5.2 61). The right pick depends on what you value most.
OpenAIGPT-5.2
61/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
xAIGrok 4.3
67/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Moonshot AIKimi K2.7 Code
64/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Kimi K2.7 Code 64/100, GPT-5.2 61/100), so choose by what matters most for your work: GPT-5.2 for raw capability, Grok 4.3 on price and Grok 4.3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.2Capabilities Index (ECI): GPT-5.2 153.5 · Kimi K2.7 Code 150.0 · Grok 4.3 149.2
- Lowest priceGrok 4.3Grok 4.3 $1.56 · Kimi K2.7 Code $1.71 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.2 400,000 · Kimi K2.7 Code 262,144 tokens
- Widest inputsGrok 4.3 and Kimi K2.7 CodeGPT-5.2: Text, Images · Grok 4.3: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
- Self-hostingKimi K2.7 CodePublishes downloadable weights
| Measure | Weight | GPT-5.2 | Grok 4.3 | Kimi K2.7 Code |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 83 | 77 | 78 |
| Price | 25% | 18 | 41 | 39 |
| Inputs & features | 15% | 70 | 80 | 80 |
| Context window | 10% | 44 | 60 | 37 |
| Overall | 100% | 61/100 | 67/100 | 64/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.2OpenAI | Grok 4.3xAI | Kimi K2.7 CodeMoonshot AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.5 (best) | 149.2 | 150.0 |
| ECI rank | #38 of 148 (best) | #55 of 148 | #49 of 148 |
| GPQA DiamondGraduate-level science questions | 91.4% (best) | 88.8% | 87.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 67.4% (best) | 42.8% | 54.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 96.1% (best) | 93.3% | 95.6% |
| SWE-bench VerifiedFixing real GitHub issues | 73.8% | — | — |
| SimpleQA VerifiedShort factual questions | 37.1% (best) | 33.2% | 36.5% |
| Price per million tokens | |||
| Input | $1.75 | $1.25 | $0.95 (best) |
| Output | $14.00 | $2.50 (best) | $4.00 |
| Cached input | $0.175 (best) | $0.20 | $0.19 |
| Blended (3:1) | $4.81 | $1.56 (best) | $1.71 |
| Long-context rate | Same rate | Over 200K: $2.50 / $5.00 | Same rate |
| Price source | Official OpenAI API | Official xAI API | Official Moonshot AI API |
| Limits | |||
| Context window | 400,000 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 128,000 tokens | 30,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.2 | grok-4.3 | kimi-k2.7-code |
| API providers | 21 | 27 | 51 (best) |
| Released | Dec 11, 2025 | Apr 17, 2026 | Jun 12, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.2$45.50
- Grok 4.3$17.50
- Kimi K2.7 Code$17.50
Which should you choose?
Which is better: GPT-5.2, Grok 4.3 or Kimi K2.7 Code?
It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Kimi K2.7 Code 64/100, GPT-5.2 61/100), so choose by what matters most for your work: GPT-5.2 for raw capability, Grok 4.3 on price and Grok 4.3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.2, Grok 4.3 or Kimi K2.7 Code?
Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Kimi K2.7 Code costs $0.95 input / $4.00 output per million tokens (official Moonshot AI API price); GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.56 per million tokens for Grok 4.3 versus $1.71 for Kimi K2.7 Code (1.1× as much) and $4.81 for GPT-5.2 (3.1× as much).
Which scores higher on benchmarks?
GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148), Kimi K2.7 Code 150.0 (#49 of 148) and Grok 4.3 149.2 (#55 of 148). The confidence ranges of the top two overlap (151.7–155.4 vs 148.1–151.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, Grok 4.3 88.8%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, Kimi K2.7 Code 54.0%, Grok 4.3 42.8%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Kimi K2.7 Code 95.6%, Grok 4.3 93.3%; SimpleQA Verified — GPT-5.2 37.1%, Kimi K2.7 Code 36.5%, Grok 4.3 33.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.3 and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, GPT-5.2 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?
Grok 4.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.2 and 262,144 for Kimi K2.7 Code. Maximum output per response: GPT-5.2 up to 128,000, Grok 4.3 up to 30,000, Kimi K2.7 Code up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 accepts text and images; Grok 4.3 accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. Grok 4.3 handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code publishes its weights and can be self-hosted; GPT-5.2 and Grok 4.3 is proprietary.
Which is newer?
Kimi K2.7 Code is the newest, released Jun 12, 2026. Grok 4.3 came out Apr 17, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, Kimi K2.7 Code Jan 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.
