Claude Haiku 4.5 Max vs Kimi K2 Instruct: which model should you choose?
We compared Claude Haiku 4.5 Max and Kimi K2 Instruct on price, context window and 12 benchmarks. Claude Haiku 4.5 Max has the stronger average benchmark score; Kimi K2 Instruct is cheaper on a blended 3:1 basis.
Claude Haiku 4.5 Max
Claude Haiku 4.5 Max is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $15.98 per million input tokens and $80.37 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $15.98 / 1M
- Output
- $80.37 / 1M
- Context
- 200,000
- Avg score
- 83.8
- Open weights
- No
Kimi K2 Instruct
Kimi K2 Instruct is a multimodal model from Moonshot AI. It offers a 1,000,000-token context window, costs $5.80 per million input tokens and $23.99 per million output tokens, and averages 82.3 across the index's benchmark suite.
- Input
- $5.80 / 1M
- Output
- $23.99 / 1M
- Context
- 1,000,000
- Avg score
- 82.3
- Open weights
- Yes
Specification comparison
| Spec | Claude Haiku 4.5 Max | Kimi K2 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $15.98 | $5.80 | B |
| Output price / 1M | $80.37 | $23.99 | B |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 4,096 | 65,536 | B |
| Average score | 83.8 | 82.3 | A |
| Arena Elo | 1452.0 | 1458.6 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 Max wins 10, Kimi K2 Instruct wins 2, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 Max | Kimi K2 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.6 | 86.5 | 0.1 | Claude Haiku 4.5 Max |
| GPQA Diamond | 80.3 | 78.4 | 1.9 | Claude Haiku 4.5 Max |
| SWE-bench Verified | 74.0 | 75.1 | 1.1 | Kimi K2 Instruct |
| HumanEval | 88.5 | 87.3 | 1.2 | Claude Haiku 4.5 Max |
| MATH-500 | 88.7 | 88.0 | 0.7 | Claude Haiku 4.5 Max |
| AIME 2025 | 78.2 | 77.3 | 0.9 | Claude Haiku 4.5 Max |
| LiveCodeBench | 79.2 | 74.1 | 5.1 | Claude Haiku 4.5 Max |
| IFEval | 89.9 | 87.5 | 2.4 | Claude Haiku 4.5 Max |
| TruthfulQA | 83.7 | 82.8 | 0.9 | Claude Haiku 4.5 Max |
| HellaSwag | 91.1 | 90.2 | 0.9 | Claude Haiku 4.5 Max |
| MMMU | 81.4 | 78.3 | 3.1 | Claude Haiku 4.5 Max |
| Arena Elo | 1452.0 | 1458.6 | 6.6 | Kimi K2 Instruct |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Max costs about $32.08 per million tokens and Kimi K2 Instruct costs about $10.35. Kimi K2 Instruct is roughly 68% cheaper than Claude Haiku 4.5 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Kimi K2 Instruct has the larger context window at 1,000,000 tokens, compared with 200,000 for Claude Haiku 4.5 Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Haiku 4.5 Max wins 10, Kimi K2 Instruct wins 2, and 0 are tied. On the index average, Claude Haiku 4.5 Max leads Kimi K2 Instruct by 1.5 points (83.8 versus 82.3).
The price picture favours Kimi K2 Instruct. The context picture favours Kimi K2 Instruct. 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 Claude Haiku 4.5 Max for quality-sensitive work and Kimi K2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude Haiku 4.5 Max if
- You want the higher average benchmark score in this index.
Choose Kimi K2 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need the larger 65,536-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude Haiku 4.5 Max better than Kimi K2 Instruct?
On the index average, Claude Haiku 4.5 Max leads Kimi K2 Instruct by 1.5 points (83.8 versus 82.3). The better choice depends on price, context and your task. Claude Haiku 4.5 Max wins 10 benchmarks, Kimi K2 Instruct wins 2.
Which is cheaper, Claude Haiku 4.5 Max or Kimi K2 Instruct?
Kimi K2 Instruct is cheaper on a blended 3:1 basis at about $10.35 per million tokens, versus $32.08 for Claude Haiku 4.5 Max.
Which has the larger context window?
Kimi K2 Instruct has the larger context window at 1,000,000 tokens. Claude Haiku 4.5 Max has 200,000 tokens.
Are these models open weights?
Claude Haiku 4.5 Max is proprietary; Kimi K2 Instruct is open weights.
Which should I choose for production?
If you need a single default, start with Claude Haiku 4.5 Max for quality-sensitive work and Kimi K2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.