Model comparison
Claude 4.1 Opus Thinking vs DeepSeek-R1
Head-to-head evidence from 8 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); DeepSeek-R1 #103 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and DeepSeek-R1 share 8 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Claude 4.1 Opus Thinking; 3 to DeepSeek-R1.
Updated July 20, 2026- Shared results
- 8
- Claude 4.1 Opus Thinking only
- 1
- DeepSeek-R1 only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and DeepSeek-R1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 8 shared benchmark results across 5 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.
Claude 4.1 Opus Thinking has the larger context window at 200K, compared with 128K for DeepSeek-R1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | DeepSeek-R1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | DeepSeek-R1$0.55 input / $2.19 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | DeepSeek-R1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | DeepSeek-R1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | DeepSeek-R1128K | Claude 4.1 Opus Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek-R1 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 71.4% | 36.5% | Claude 4.1 Opus Thinking leads |
Coding1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.9% | 40.3% | Claude 4.1 Opus Thinking leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek-R1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 20.1% | Claude 4.1 Opus Thinking leads |
| AA-GPQA DiamondSource | 80.9% | 81.3% | DeepSeek-R1 leads |
| AA-HLESource | 11.9% | 14.9% | DeepSeek-R1 leads |
| AA-Omniscience IndexSource | — | -27.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.0% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 67.9% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 55.4% | 39.6% | Claude 4.1 Opus Thinking leads |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and DeepSeek-R1 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-R1 today?
Claude 4.1 Opus Thinking: Pricing unavailable DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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