Model comparison
Claude Sonnet 4.5 vs DeepSeek-V3.1-Terminus
Claude Sonnet 4.5 and DeepSeek-V3.1-Terminus score almost the same on the Noometry Index (44.1 vs 43.1), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 6 categories and DeepSeek-V3.1-Terminus in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 32.3.
- The biggest single-benchmark swing is LMCA: 38.8% for Claude Sonnet 4.5 and 28.6% for DeepSeek-V3.1-Terminus.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- Claude Sonnet 4.5 accepts more context: 200K tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 44.1 | 43.1 |
| Released | 2025-09-29 | 2025-09-22 |
| Weights | Proprietary | Open |
| Context window | 200K | 164K |
| Max output | 64K | 147K |
| Input $ / M tokens | $3 | $0.27 |
| Output $ / M tokens | $15 | $1 |
| Results tracked | 73 | 16 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), DeepSeek-V3.1-Terminus: 42.0 (#113)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| SciCode | 44.7% | 40.6% |
| LMArena Coding | 1489 | 1426 |
| ALE-Bench | 796.15 | 745.17 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), DeepSeek-V3.1-Terminus: —
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Too close to call
Claude Sonnet 4.5: 26.9 (#125), DeepSeek-V3.1-Terminus: 26.4 (#133)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 57.4% |
| CritPt | 1.1% | 1.7% |
| LMArena Hard Prompts | 1462 | 1426 |
| DTBench | 83.2% | 81.3% |
| LMCA | 38.8% | 28.6% |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math DeepSeek-V3.1-Terminus leads
Claude Sonnet 4.5: 32.3 (#216), DeepSeek-V3.1-Terminus: 38.5 (#137)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Math | 1449 | 1402 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), DeepSeek-V3.1-Terminus: —
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), DeepSeek-V3.1-Terminus: —
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), DeepSeek-V3.1-Terminus: 52.1 (#92)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Non-English | 1425 | 1407 |
| LMArena Russian | 1437 | 1436 |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Too close to call
Claude Sonnet 4.5: 75.0 (#78), DeepSeek-V3.1-Terminus: 74.0 (#106)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Instruction Following | 1459 | 1404 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), DeepSeek-V3.1-Terminus: 43.4 (#97)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Longer Query | 1476 | 1421 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), DeepSeek-V3.1-Terminus: 61.0 (#92)
| Benchmark | Claude Sonnet 4.5 | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Text | 1439 | 1419 |
| LMArena Creative Writing | 1442 | 1403 |
| LMArena Multi-Turn | 1465 | 1411 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than DeepSeek-V3.1-Terminus?
Claude Sonnet 4.5 and DeepSeek-V3.1-Terminus score almost the same on the Noometry Index (44.1 vs 43.1), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Sonnet 4.5 or DeepSeek-V3.1-Terminus?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.
Is Claude Sonnet 4.5 or DeepSeek-V3.1-Terminus better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 42.0 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.5 does, with 200K tokens against 164K.
How many benchmarks do Claude Sonnet 4.5 and DeepSeek-V3.1-Terminus share?
16 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and DeepSeek-V3.1-Terminus has 16.