Model comparison
Claude Haiku 4.5 vs Llama 13b
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 57.9 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Llama 13b | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 24.4 |
| Released | 2025-10-15 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 21 |
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), Llama 13b: 21.4 (#337)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Coding | 1453 | 683 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Llama 13b: —
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| 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 Claude Haiku 4.5 leads
Claude Haiku 4.5: 15.1 (#320), Llama 13b: 14.0 (#329)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1420 | 728 |
| Epoch Capabilities Index | 142.41 | 100.58 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 61.4 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Llama 13b: 26.7 (#256)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Math | 1396 | 838 |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Claude Haiku 4.5: 37.7 (#153), Llama 13b: —
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| 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 | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Llama 13b: —
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
| ScienceQA | — | 43.3% |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Llama 13b: 16.6 (#297)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1377 | 819 |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Llama 13b: 36.7 (#305)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1414 | 781 |
| IFEval | 80.1% | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#92), Llama 13b: —
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Llama 13b: 13.8 (#312)
| Benchmark | Claude Haiku 4.5 | Llama 13b |
|---|---|---|
| LMArena Text | 1396 | 834 |
| LMArena Creative Writing | 1372 | 794 |
| LMArena Multi-Turn | 1409 | 753 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Llama 13b?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 24.4 on the Noometry Index.
Is Claude Haiku 4.5 or Llama 13b better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 21.4 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Llama 13b share?
9 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Llama 13b has 21.