Model comparison
Claude Haiku 5.5 vs Llama 4 Maverick
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.9 on the Noometry Index.
Last verified . 3 shared benchmarks.
MetaSummary
- They share 3 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 5 categories and Llama 4 Maverick in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 26.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 5.5 and 20.6% for Llama 4 Maverick.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Llama 4 Maverick | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 49.5 | 30.9 |
| Released | 2026-10-07 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $0.10 | $0.19 |
| Output $ / M tokens | $0.50 | $0.65 |
| Results tracked | 9 | 54 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| LMArena WebDev | 1587 | — |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| LMArena Coding | — | 1302 |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| NYT Connections (extended) | 65.7% | 8% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LMArena Hard Prompts | — | 1281 |
| Mystery Game Puzzles | 30% | — |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 20.6% |
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 89.6% | 67% |
| Humanity's Last Exam | — | 5.7% |
| SimpleQA Verified | 23.8% | — |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |
Multimodal Claude Haiku 5.5 leads
Claude Haiku 5.5: 43.7 (#21), Llama 4 Maverick: 31.6 (#105)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| Furniture Assembly | 47.5% | — |
| SpatialViz-Bench | — | 31.8% |
Multilingual Not comparable
Claude Haiku 5.5: —, Llama 4 Maverick: 42.2 (#195)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Llama 4 Maverick: 71.7 (#146)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| IFEval | — | 90.8% |
| LMArena Instruction Following | — | 1267 |
Long Context Not comparable
Claude Haiku 5.5: —, Llama 4 Maverick: 31.4 (#279)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | — | 46.2% |
| LMArena Longer Query | — | 1280 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Llama 4 Maverick: 38.8 (#252)
| Benchmark | Claude Haiku 5.5 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1267 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1289 |
Frequently asked questions
Is Claude Haiku 5.5 better than Llama 4 Maverick?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.9 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or Llama 4 Maverick?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Is Claude Haiku 5.5 or Llama 4 Maverick better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 128K.
How many benchmarks do Claude Haiku 5.5 and Llama 4 Maverick share?
3 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Llama 4 Maverick has 54.