Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Claude Haiku 5.5 vs Kimi K3: benchmark scores, pricing & comparison.
Side-by-side Claude Haiku 5.5 vs Kimi K3 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.
Verdict: Claude Haiku 5.5 ranks higher (#16 vs #26) and wins 3 of 4 shared benchmarks; Claude Haiku 5.5 costs less ($0.10/$0.50 vs $3.00/$15.0 per 1M tokens).
Rank #16 vs #26AskClash overall scores 60.0 vs 56.1.
Pricing $0.10/$0.50 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.
Claude Haiku 5.5 vs Kimi K3 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| Overall Score | 60.0 | 56.1 |
| Leaderboard Rank | #16 | #26 |
| ACB | 63.5 | 57.7 |
| RWT | — | 8.0 |
| Coding Agent Index | — | 51.9 |
| HLE | 57.4 | 43.5 |
| GPQA | — | 93.5 |
| SWE-Pro | 64.8 | — |
| SWE-Atlas | — | 66.1 |
| Terminal-Bench | 32.8 | 12.6 |
| DeepSWE | — | 68.5 |
| GDPval-AA | 1620.0 | 1668.0 |
| MCP Atlas | — | 84.2 |
| Finance Agent | — | 53.1 |
| CharXiv | — | 84.8 |
| MMMU-Pro | — | 81.6 |
| ARC-AGI 2 | — | 60.4 |
| Input Price (per 1M tokens) | $0.10 | $3.00 |
| Output Price (per 1M tokens) | $0.50 | $15.0 |
| Context Window | 1M | 1M |
| Benchmarks Published | 8 | 16 |
Claude Haiku 5.5 vs Kimi K3 head-to-head charts
Claude Haiku 5.5 leads 4 and Kimi K3 leads 1 of 5 shared benchmarks. Claude Haiku 5.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Claude Haiku 5.5Kimi K3
Overall
ACB
HLE
Terminal-Bench
GDPval-AA
Claude Haiku 5.5
Input$0.10
Output$0.50
Workload$0.20
Context1M
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Claude Haiku 5.5 and Kimi K3 comparisons
Explore how Claude Haiku 5.5 and Kimi K3 stack up against other top-ranked LLMs.
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How to read this comparison
Token pricing
Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.
Coverage matters
Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.
This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.