Model comparison
Claude 3.5 Haiku vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 29.2 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Grok 4.20 (Non-Reasoning) in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 17.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 92.2% for Grok 4.20 (Non-Reasoning).
Side by side
| Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 29.2 | 48.6 |
| Released | 2024-10-22 | 2026-02-17 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 49 | 46 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 32.9 (#265), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| WeirdML | 30.7% | 52.3% |
| LMArena Coding | 1286 | 1459 |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1375 |
| SciCode | 27.4% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 1,150 |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 28.0 (#95), Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| τ²-bench Banking | — | 18% |
| BALROG | 19.3% | — |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 17.7 (#290), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1451 |
| DTBench | 56.7% | 90.1% |
| Epoch Capabilities Index | 127.15 | 151.98 |
| ARC-AGI-2 | — | 65.1% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 85.4% |
| ARC-AGI-1 | — | 89.5% |
| CritPt | 0% | — |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 63.8% |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 48.5% | — |
| LMCA | — | 38.7% |
| ForecastBench | — | 61.4 |
| LiveBench | 43.5% | — |
Math Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 14.7 (#300), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 92.2% |
| LMArena Math | 1244 | 1455 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 14% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 18.7 (#281), Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 38.1% | 89.3% |
| LMArena Expert | 1208 | 1439 |
| SimpleQA Verified | — | 30.2% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 26.8 (#117), Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | 1092 | 1263 |
| GeoBench | 34% | — |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 40.0 (#218), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1238 | 1441 |
| LMArena Chinese | 1229 | 1481 |
| LMArena French | 1264 | 1476 |
| LMArena German | 1237 | 1465 |
| LMArena Japanese | 1175 | 1449 |
| LMArena Korean | 1173 | 1417 |
| LMArena Russian | 1253 | 1458 |
| LMArena Spanish | 1261 | 1443 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 62.9 (#234), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1241 | 1420 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 38.3 (#200), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1261 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Claude 3.5 Haiku: 42.7 (#234), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | Claude 3.5 Haiku | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1255 | 1451 |
| LMArena Creative Writing | 1233 | 1438 |
| EQ-Bench Creative Writing | 1146 | 1574 |
| LMArena Multi-Turn | 1265 | 1456 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Grok 4.20 (Non-Reasoning) better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Grok 4.20 (Non-Reasoning) share?
24 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.