Claude Opus 4.7 vs DeepSeek V3.2
At a Glance
| Compare | Claude Opus 4.7Anthropic |  DeepSeek V3.2DeepSeek |
|---|---|---|
| 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 | $0.26Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $0.38Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 1,000K | 164K |
| 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 | DeepSeek-V3.2 |
|---|---|---|
| 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 | 1,424.8096% of row best · rating · deepseek-v3.2; 95% CI [1421.27271719, 1428.32733406]; votes 46458; rank 96 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo 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 | DeepSeek-V3.2 |
|---|---|---|
| Developer | Anthropic | DeepSeek |
| Family | Claude 4 | Deepseek V3 2 |
| Model | Claude Opus 4.7 | DeepSeek-V3.2 |
| Version | Claude Opus 4.7 | DeepSeek-V3.2 |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2025-12-01 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 164K |
| Total parameters | Unknown | 685.4B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| 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 |
Claude Opus 4.7 Capabilities
DeepSeek V3.2 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 DeepSeek V3.2 FAQs
Is Claude Opus 4.7 or DeepSeek V3.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or DeepSeek V3.2?+
Claude Opus 4.7 is $5.00 and DeepSeek V3.2 is $0.26 per million tokens, so DeepSeek V3.2 is cheaper on this metric. Claude Opus 4.7 is $25.00 and DeepSeek V3.2 is $0.38 per million tokens, so DeepSeek V3.2 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or DeepSeek V3.2?+
Claude Opus 4.7 has the larger sourced context window. Claude Opus 4.7 supports 1,000K and DeepSeek V3.2 supports 164K.
Which performs better in benchmarks, Claude Opus 4.7 or DeepSeek V3.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.7 or DeepSeek V3.2 be self-hosted?+
DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. Claude Opus 4.7 is not marked open weight; DeepSeek V3.2 is open weight.
Can Claude Opus 4.7 and DeepSeek V3.2 understand images?+
Claude Opus 4.7 is documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or DeepSeek V3.2?+
Neither has a larger sourced maximum output. Claude Opus 4.7 is 128K and DeepSeek V3.2 is —.
Do Claude Opus 4.7 and DeepSeek V3.2 support reasoning and tool use?+
Claude Opus 4.7: reasoning, tool calling, and image input. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or DeepSeek V3.2?+
Claude Opus 4.7 has 2 sourced provider routes; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, Claude Opus 4.7 or DeepSeek V3.2?+
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.