Model comparison
Claude Sonnet 4.6 vs DeepSeek V3.1
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); DeepSeek V3.1 #95 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and DeepSeek V3.1 share 12 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Claude Sonnet 4.6; 0 to DeepSeek V3.1.
Updated July 20, 2026- Shared results
- 12
- Claude Sonnet 4.6 only
- 21
- DeepSeek V3.1 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 4.6 and DeepSeek V3.1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 Sonnet 4.6 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1. Claude Sonnet 4.6 has the larger context window at 200K, compared with 128K for DeepSeek V3.1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Sonnet 4.6 | Δ | DeepSeek V3.1 |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | DeepSeek V3.1Not measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | DeepSeek V3.1Not measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | DeepSeek V3.1Not measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | DeepSeek V3.1Not measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | DeepSeek V3.1Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | DeepSeek V3.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | DeepSeek V3.1$0 input / $0 output | DeepSeek V3.1 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | DeepSeek V3.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | DeepSeek V3.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | DeepSeek V3.1128K | Claude Sonnet 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 34.8% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.1 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 36.7% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.1 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 21.1% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 73.5% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 6.3% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -41.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 23.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 83.5% | Claude Sonnet 4.6 leads |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 37.8% | Claude Sonnet 4.6 leads |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 4.6 and DeepSeek V3.1 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 Sonnet 4.6 and DeepSeek V3.1 today?
Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens DeepSeek V3.1: $0.00 input / $0.00 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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