Claude Haiku 4.5 vs Kimi K3
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  Kimi K3Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | #17 of 4670.3 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #30 of 44$0.194 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #21 of 3852.5 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.00Anthropic ↗ · Sep 3, 2026 | $2.85Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $14.25Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 200K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Claude Haiku 4.5 | Kimi-K3 |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 47.6750% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 94.50100% of row best · percent · Kimi K3 (Max) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 4.037% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 60.42100% of row best · percent · Kimi K3 (Max) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,396.6495% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1394.12644647, 1399.14715328]; votes 129278; rank 147 | 1,472.27100% of row best · rating · kimi-k3-max; 95% CI [1467.05577758, 1477.48944277]; votes 20987; rank 23 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.1585% of row best · points · Claude Haiku 4.5 · 10,996 output tokens / case | 88.19100% of row best · points · Kimi K3 · 15,023 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Haiku 4.5 | Kimi-K3 |
|---|---|---|
| Developer | Anthropic | Moonshot AI |
| Family | Claude 4 5 | Kimi K3 |
| Model | Claude Haiku 4.5 | Kimi-K3 |
| Version | Claude Haiku 4.5 | Kimi-K3 |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200K | 1,049K |
| Total parameters | Unknown | 2.8T |
| Active parameters | Unknown | 104B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
Claude Haiku 4.5 Capabilities
Kimi K3 Capabilities
Related Comparisons
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|---|---|---|---|
Claude Haiku 4.5Anthropic | vs | Kimi-K2.6Moonshot AI | cross-developer peersimage, text |
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Claude Fable 5.1Anthropic | vs | Claude Haiku 4.5Anthropic | family variantsimage, text |
Claude Haiku 4.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Haiku 4.5Anthropic | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Kimi K3 FAQs
Is Claude Haiku 4.5 or Kimi K3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or Kimi K3?+
Claude Haiku 4.5 is $1.00 and Kimi K3 is $2.85 per million tokens, so Claude Haiku 4.5 is cheaper on this metric. Claude Haiku 4.5 is $5.00 and Kimi K3 is $14.25 per million tokens, so Claude Haiku 4.5 is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Kimi K3?+
Kimi K3 has the larger sourced context window. Claude Haiku 4.5 supports 200K and Kimi K3 supports 1,049K.
Which performs better in benchmarks, Claude Haiku 4.5 or Kimi K3?+
Kimi K3 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Claude Haiku 4.5 or Kimi K3 be self-hosted?+
Kimi K3 is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; Kimi K3 is open weight.
Can Claude Haiku 4.5 and Kimi K3 understand images?+
Claude Haiku 4.5 is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Haiku 4.5 or Kimi K3?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and Kimi K3 is —.
Do Claude Haiku 4.5 and Kimi K3 support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Kimi K3?+
Claude Haiku 4.5 has 2 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.
Which offers better value, Claude Haiku 4.5 or Kimi K3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.