Claude Opus 4.7 vs Kimi K2.5
At a Glance
| Compare | Claude Opus 4.7Anthropic |  Kimi K2.5Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #11 of 4679.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #37 of 44$0.286 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #20 of 3852.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.45Deepinfra ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $2.25Deepinfra ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 262K |
| Model facts checked | Sep 3, 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 Opus 4.7 | Kimi-K2.5 |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,494.71100% of row best · rating · claude-opus-4-7-high; 95% CI [1488.20710383, 1501.21879014]; votes 21957; rank 7 | 1,430.1096% of row best · rating · kimi-k2.5-thinking; 95% CI [1423.37027866, 1436.81983378]; votes 21569; rank 34 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,483.36100% of row best · rating · claude-opus-4-7; 95% CI [1479.49740558, 1487.21455301]; votes 61128; rank 12 | 1,445.6497% of row best · rating · kimi-k2.5-thinking; 95% CI [1442.30343195, 1448.97544647]; votes 70513; rank 53 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,316.07100% of row best · rating · claude-opus-4-7-high; 95% CI [1309.27708749, 1322.85317424]; votes 21092; rank 5 | 1,266.9996% of row best · rating · kimi-k2.5-thinking; 95% CI [1261.13170482, 1272.84453452]; votes 26646; rank 39 |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
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 Opus 4.7 | Kimi-K2.5 |
|---|---|---|
| Developer | Anthropic | Moonshot AI |
| Family | Claude 4 | Kimi K2 5 |
| Model | Claude Opus 4.7 | Kimi-K2.5 |
| Version | Claude Opus 4.7 | Kimi-K2.5 |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-01-27 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | Unknown | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
Claude Opus 4.7 Capabilities
Kimi K2.5 Capabilities
Related Comparisons
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|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.7Anthropic | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Kimi K2.5 FAQs
Is Claude Opus 4.7 or Kimi K2.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Kimi K2.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or Kimi K2.5?+
Claude Opus 4.7 is $5.00 and Kimi K2.5 is $0.45 per million tokens, so Kimi K2.5 is cheaper on this metric. Claude Opus 4.7 is $25.00 and Kimi K2.5 is $2.25 per million tokens, so Kimi K2.5 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or Kimi K2.5?+
Claude Opus 4.7 has the larger sourced context window. Claude Opus 4.7 supports 1,000K and Kimi K2.5 supports 262K.
Which performs better in benchmarks, Claude Opus 4.7 or Kimi K2.5?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Opus 4.7 or Kimi K2.5 be self-hosted?+
Kimi K2.5 is the only model in this pair currently marked as self-hostable. Claude Opus 4.7 is not marked open weight; Kimi K2.5 is open weight.
Can Claude Opus 4.7 and Kimi K2.5 understand images?+
Claude Opus 4.7 is documented with image input; Kimi K2.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or Kimi K2.5?+
Neither has a larger sourced maximum output. Claude Opus 4.7 is 128K and Kimi K2.5 is —.
Do Claude Opus 4.7 and Kimi K2.5 support reasoning and tool use?+
Claude Opus 4.7: reasoning, tool calling, and image input. Kimi K2.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or Kimi K2.5?+
Claude Opus 4.7 has 2 sourced provider routes; Kimi K2.5 has 3, so Kimi K2.5 has broader tracked availability.
Which offers better value, Claude Opus 4.7 or Kimi K2.5?+
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.