Grok 3 Reasoning vs Kimi K2 Chat: which model should you choose?
We compared Grok 3 Reasoning and Kimi K2 Chat on price, context window and 12 benchmarks. Grok 3 Reasoning has the stronger average benchmark score; Kimi K2 Chat is cheaper on a blended 3:1 basis.
Grok 3 Reasoning
Grok 3 Reasoning is a frontier model from xAI. It offers a 200,000-token context window, costs $16.07 per million input tokens and $74.65 per million output tokens, and averages 82.9 across the index's benchmark suite.
- Input
- $16.07 / 1M
- Output
- $74.65 / 1M
- Context
- 200,000
- Avg score
- 82.9
- Open weights
- No
Kimi K2 Chat
Kimi K2 Chat is a multimodal model from Moonshot AI. It offers a 400,000-token context window, costs $5.74 per million input tokens and $22.24 per million output tokens, and averages 82.1 across the index's benchmark suite.
- Input
- $5.74 / 1M
- Output
- $22.24 / 1M
- Context
- 400,000
- Avg score
- 82.1
- Open weights
- Yes
Specification comparison
| Spec | Grok 3 Reasoning | Kimi K2 Chat | Edge |
|---|---|---|---|
| Input price / 1M | $16.07 | $5.74 | B |
| Output price / 1M | $74.65 | $22.24 | B |
| Context window | 200,000 | 400,000 | B |
| Max output | 16,384 | 4,096 | A |
| Average score | 82.9 | 82.1 | A |
| Arena Elo | 1448.0 | 1445.6 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Grok 3 Reasoning wins 8, Kimi K2 Chat wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Grok 3 Reasoning | Kimi K2 Chat | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.5 | 82.7 | 1.8 | Grok 3 Reasoning |
| GPQA Diamond | 77.3 | 77.4 | 0.1 | Kimi K2 Chat |
| SWE-bench Verified | 74.0 | 70.0 | 4.0 | Grok 3 Reasoning |
| HumanEval | 88.5 | 88.1 | 0.4 | Grok 3 Reasoning |
| MATH-500 | 90.2 | 84.8 | 5.4 | Grok 3 Reasoning |
| AIME 2025 | 78.2 | 84.1 | 5.9 | Kimi K2 Chat |
| LiveCodeBench | 76.5 | 74.5 | 2.0 | Grok 3 Reasoning |
| IFEval | 90.2 | 88.0 | 2.2 | Grok 3 Reasoning |
| TruthfulQA | 83.4 | 82.8 | 0.6 | Grok 3 Reasoning |
| HellaSwag | 89.7 | 91.6 | 1.9 | Kimi K2 Chat |
| MMMU | 79.4 | 79.6 | 0.2 | Kimi K2 Chat |
| Arena Elo | 1448.0 | 1445.6 | 2.4 | Grok 3 Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Grok 3 Reasoning costs about $30.72 per million tokens and Kimi K2 Chat costs about $9.86. Kimi K2 Chat is roughly 68% cheaper than Grok 3 Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Kimi K2 Chat has the larger context window at 400,000 tokens, compared with 200,000 for Grok 3 Reasoning. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Grok 3 Reasoning wins 8, Kimi K2 Chat wins 4, and 0 are tied. On the index average, Grok 3 Reasoning leads Kimi K2 Chat by 0.8 points (82.9 versus 82.1).
The price picture favours Kimi K2 Chat. The context picture favours Kimi K2 Chat. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Grok 3 Reasoning for quality-sensitive work and Kimi K2 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Grok 3 Reasoning if
- You want the higher average benchmark score in this index.
- You need the larger 16,384-token output limit.
Choose Kimi K2 Chat if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 400,000-token context window.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Grok 3 Reasoning better than Kimi K2 Chat?
On the index average, Grok 3 Reasoning leads Kimi K2 Chat by 0.8 points (82.9 versus 82.1). The better choice depends on price, context and your task. Grok 3 Reasoning wins 8 benchmarks, Kimi K2 Chat wins 4.
Which is cheaper, Grok 3 Reasoning or Kimi K2 Chat?
Kimi K2 Chat is cheaper on a blended 3:1 basis at about $9.86 per million tokens, versus $30.72 for Grok 3 Reasoning.
Which has the larger context window?
Kimi K2 Chat has the larger context window at 400,000 tokens. Grok 3 Reasoning has 200,000 tokens.
Are these models open weights?
Grok 3 Reasoning is proprietary; Kimi K2 Chat is open weights.
Which should I choose for production?
If you need a single default, start with Grok 3 Reasoning for quality-sensitive work and Kimi K2 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.