Model comparison
Claude Haiku 4.5 vs DeepSeek Coder 1.3B
Claude Haiku 4.5 has enough public results to be ranked (#165); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. Claude Haiku 4.5 scores higher in 1 category and DeepSeek Coder 1.3B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude Haiku 4.5 leads 44.0 to 31.2.
- DeepSeek Coder 1.3B has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | DeepSeek Coder 1.3B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.5 | 35.0 |
| Released | 2025-10-15 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 9 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), DeepSeek Coder 1.3B: 31.2 (#287)
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| BigCodeBench Instruct | — | 22.8% |
| LMArena Coding | 1453 | — |
| BigCodeBench Complete | — | 29.6% |
| ALE-Bench | 653.48 | — |
| HumanEval+ | — | 60.4% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Not comparable
Claude Haiku 4.5: 15.1 (#320), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| Epoch Capabilities Index | 142.41 | 63.6 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| LMArena Hard Prompts | 1420 | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| ForecastBench | 61.4 | — |
| WinoGrande | — | 53.3% |
Math Not comparable
Claude Haiku 4.5: 44.9 (#78), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 4.4% |
Knowledge Not comparable
Claude Haiku 4.5: 37.7 (#153), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |
| ARC (AI2) Challenge | — | 25.4% |
| MMLU | — | 25.8% |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 49.9 (#129), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| LMArena Non-English | 1377 | — |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.4 (#149), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#92), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Not comparable
Claude Haiku 4.5: 57.9 (#123), DeepSeek Coder 1.3B: —
| Benchmark | Claude Haiku 4.5 | DeepSeek Coder 1.3B |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1372 | — |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than DeepSeek Coder 1.3B?
Claude Haiku 4.5 has enough public results to be ranked (#165); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is Claude Haiku 4.5 or DeepSeek Coder 1.3B better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 31.2 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and DeepSeek Coder 1.3B share?
1 benchmark has published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and DeepSeek Coder 1.3B has 9.