# Claude Haiku 4.5 vs DeepSeek-V3

> Claude Haiku 4.5 and DeepSeek-V3 score almost the same on the Noometry Index (39.3 vs 39.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/claude-haiku-4-5-vs-deepseek-v3
- Last updated: 2026-10-10
- Shared benchmarks: 34

## Summary

- They share 34 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 6 categories and DeepSeek-V3 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 43.0 to 30.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 37.8% for DeepSeek-V3.
- DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Claude Haiku 4.5 accepts more context: 200K tokens versus 164K.
- DeepSeek-V3 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.3 | 39.2 |
| Rank | 155 | 157 |
| Context | 200K | 164K |
| Input $/M | $1 | $0.24 |
| Output $/M | $5 | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 4.5: 43.9 (#71)
- DeepSeek-V3: 41.9 (#99)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| SciCode | 43.3% | 35.8% |
| WeirdML | 45.4% | 36.1% |
| LMArena Coding | 1454 | 1368 |
| SWE-bench Verified (bash only) | 66.6% | — |
| Aider Polyglot | — | 55.1% |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| BigCodeBench Instruct | — | 50% |
| LiveBench Coding | — | 70.9% |
| BigCodeBench Complete | — | 62.2% |
| ALE-Bench | 653.48 | — |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73% |

## Agentic & Tool Use

- Claude Haiku 4.5: 33.5 (#50)
- DeepSeek-V3: —

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| METR Time Horizons | — | 49.6% |
| Vending-Bench 2 | 458.89 | — |

## Reasoning

- Claude Haiku 4.5: 15.1 (#310)
- DeepSeek-V3: 20.0 (#226)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1420 | 1365 |
| DTBench | 73.6% | 64.8% |
| LMCA | 30.9% | 15.5% |
| Epoch Capabilities Index | 142.42 | 135.95 |
| ForecastBench | 61.4 | 59.1 |
| ARC-AGI-2 | 4% | — |
| SimpleBench | — | 27.2% |
| Kagi LLM Benchmark | — | 52.3% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| Chess Puzzles | 8% | — |
| LiveBench Reasoning | — | 65.8% |
| LiveBench Data Analysis | — | 60.9% |
| BIG-Bench Hard | — | 87.5% |
| HellaSwag | — | 88.9% |
| LiveBench | — | 66.9% |
| PIQA | — | 84.7% |
| WinoGrande | — | 85.2% |

## Math

- Claude Haiku 4.5: 43.0 (#69)
- DeepSeek-V3: 30.4 (#208)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 37.8% |
| Omni-MATH | 56.1% | 40.3% |
| LMArena Math | 1395 | 1373 |
| MATH Level 5 | 96.4% | 75.5% |
| FrontierMath (Feb 2025 set) | 5.9% | 1.7% |
| LiveBench Math | — | 73.5% |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- Claude Haiku 4.5: 37.6 (#146)
- DeepSeek-V3: 37.5 (#147)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| GPQA Diamond | 71.2% | 67.6% |
| MMLU-Pro | 77.7% | 72.3% |
| Vectara Hallucination Rate | 9.8% | 6.1% |
| GPQA (HELM) | 60.5% | 53.8% |
| LMArena Expert | 1443 | 1352 |
| SimpleQA Verified | 13.2% | — |
| Confabulations | — | 26.1% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 87.2% |
| TriviaQA | — | 82.9% |

## Multimodal

- Claude Haiku 4.5: 27.0 (#111)
- DeepSeek-V3: —

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |

## Multilingual

- Claude Haiku 4.5: 50.1 (#124)
- DeepSeek-V3: 48.8 (#138)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| LMArena Non-English | 1376 | 1358 |
| LMArena Chinese | 1415 | 1390 |
| LMArena French | 1408 | 1386 |
| LMArena German | 1377 | 1374 |
| LMArena Japanese | 1339 | 1333 |
| LMArena Korean | 1346 | 1321 |
| LMArena Russian | 1380 | 1372 |
| LMArena Spanish | 1420 | 1358 |

## Instruction Following

- Claude Haiku 4.5: 71.6 (#144)
- DeepSeek-V3: 73.0 (#125)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| IFEval | 80.1% | 83.2% |
| LMArena Instruction Following | 1414 | 1345 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Claude Haiku 4.5: 43.6 (#86)
- DeepSeek-V3: 34.0 (#248)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| LMArena Longer Query | 1427 | 1353 |
| Fiction.LiveBench | — | 50% |

## Writing & Preference

- Claude Haiku 4.5: 58.1 (#119)
- DeepSeek-V3: 57.6 (#124)

| Benchmark | Claude Haiku 4.5 | DeepSeek-V3 |
|---|---|---|
| LMArena Text | 1396 | 1375 |
| LMArena Creative Writing | 1371 | 1364 |
| WildBench | 83.9% | 83% |
| LMArena Multi-Turn | 1409 | 1389 |
| Short-Story Creative Writing | — | 77% |
| EQ-Bench Creative Writing | — | 1472 |
| EQ-Bench 4 | 1064 | — |
| LiveBench Language | — | 49.1% |

## FAQ

### Is Claude Haiku 4.5 better than DeepSeek-V3?

Claude Haiku 4.5 and DeepSeek-V3 score almost the same on the Noometry Index (39.3 vs 39.2), so choose on price, context window or the category you care about most.

### Which is cheaper, Claude Haiku 4.5 or DeepSeek-V3?

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.

### Is Claude Haiku 4.5 or DeepSeek-V3 better for coding?

Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 41.9 in the Noometry coding category.

### Which has the bigger context window?

Claude Haiku 4.5 does, with 200K tokens against 164K.

### How many benchmarks do Claude Haiku 4.5 and DeepSeek-V3 share?

34 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and DeepSeek-V3 has 60.