Claude Opus 5.5 vs DeepSeek V4 Pro
At a Glance
| Compare | Claude Opus 5.5Anthropic |  DeepSeek V4 ProDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #10 of 44$0.054 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $4.00Anthropic ↗ · Sep 22, 2026 | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $20.00Anthropic ↗ · Sep 22, 2026 | $1.5441Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,049K |
| Model facts checked | Sep 22, 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
Side-by-Side Facts
| Field | Claude Opus 5.5 | DeepSeek-V4-Pro |
|---|---|---|
| Developer | Anthropic | DeepSeek |
| Family | Claude 5 5 | Deepseek V4 Pro |
| Model | Claude Opus 5.5 | DeepSeek-V4-Pro |
| Version | Claude Opus 5.5 | DeepSeek-V4-Pro |
| Lifecycle | active | active |
| Released | 2026-09-22 | 2026-04-24 |
| Knowledge cutoff | 2026-06-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,049K |
| Total parameters | Unknown | 1.6T |
| Active parameters | Unknown | 49B |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
| Message Batches max output (beta) | 300000 tokens | Unknown |
| Default effort | medium | Unknown |
| Retirement commitment | Not sooner than September 22, 2027 | Unknown |
| Thinking | Adaptive (always on) | Unknown |
Claude Opus 5.5 Capabilities
DeepSeek V4 Pro Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 5Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
Claude Opus 5.5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 5.5Anthropic | vs | DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 5.5Anthropic | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 5.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 5.5 vs DeepSeek V4 Pro FAQs
Is Claude Opus 5.5 or DeepSeek V4 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5.5 and DeepSeek V4 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 5.5 or DeepSeek V4 Pro?+
Claude Opus 5.5 is $4.00 and DeepSeek V4 Pro is $0.66 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. Claude Opus 5.5 is $20.00 and DeepSeek V4 Pro is $1.5441 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, Claude Opus 5.5 or DeepSeek V4 Pro?+
DeepSeek V4 Pro has the larger sourced context window. Claude Opus 5.5 supports 1,000K and DeepSeek V4 Pro supports 1,049K.
Which performs better in benchmarks, Claude Opus 5.5 or DeepSeek V4 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 5.5 or DeepSeek V4 Pro be self-hosted?+
DeepSeek V4 Pro is the only model in this pair currently marked as self-hostable. Claude Opus 5.5 is not marked open weight; DeepSeek V4 Pro is open weight.
Can Claude Opus 5.5 and DeepSeek V4 Pro understand images?+
Claude Opus 5.5 is documented with image input; DeepSeek V4 Pro is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 5.5 or DeepSeek V4 Pro?+
Neither has a larger sourced maximum output. Claude Opus 5.5 is 128K and DeepSeek V4 Pro is —.
Do Claude Opus 5.5 and DeepSeek V4 Pro support reasoning and tool use?+
Claude Opus 5.5: reasoning, tool calling, and image input. DeepSeek V4 Pro: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 5.5 or DeepSeek V4 Pro?+
Claude Opus 5.5 has 1 sourced provider route; DeepSeek V4 Pro has 6, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, Claude Opus 5.5 or DeepSeek V4 Pro?+
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.