Model comparison
Claude 4.1 Opus Thinking vs DeepSeek V4 Pro
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); DeepSeek V4 Pro #46 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and DeepSeek V4 Pro share 0 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Claude 4.1 Opus Thinking; 23 to DeepSeek V4 Pro.
Updated July 23, 2026- Shared results
- 0
- Claude 4.1 Opus Thinking only
- 9
- DeepSeek V4 Pro only
- 23
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and DeepSeek V4 Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
DeepSeek V4 Pro has the larger context window at 1M, compared with 200K for Claude 4.1 Opus Thinking.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | DeepSeek V4 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | DeepSeek V4 Pro$0.435 input / $0.87 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | DeepSeek V4 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | DeepSeek V4 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | DeepSeek V4 Pro1M | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek V4 Pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 71.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 59.1% | Not comparable |
| MCP AtlasSource | — | 69.4% | Not comparable |
| ToolathlonSource | — | 46.3% | Not comparable |
| Claw-EvalSource | — | 59.8% | Not comparable |
| Gert LabsSource | — | 50.28% | Not comparable |
| ResearchClawBenchSource | — | 17.1% | Not comparable |
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek V4 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | — | Not comparable |
| AA-GPQA DiamondSource | 80.9% | — | Not comparable |
| AA-HLESource | 11.9% | — | Not comparable |
| MMLU-ProSource | — | 82.9% | Not comparable |
| SimpleQASource | — | 45% | Not comparable |
| Chinese-SimpleQASource | — | 75.8% | Not comparable |
| GPQASource | — | 72.9% | Not comparable |
| GPQA-DSource | — | 72.9% | Not comparable |
| HLESource | — | 7.7% | Not comparable |
Math4 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek V4 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 55.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and DeepSeek V4 Pro on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude 4.1 Opus Thinking and DeepSeek V4 Pro today?
Claude 4.1 Opus Thinking: Pricing unavailable DeepSeek V4 Pro: $0.43 input / $0.87 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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