Model comparison
Claude Haiku 4.5 vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 39.3 on the Noometry Index.
Last verified . 35 shared benchmarks.
Summary
- They share 35 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 1 category and Grok 4.20 (Non-Reasoning) in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.2 to 15.1.
- The biggest single-benchmark swing is NYT Connections (extended): 14.3% for Claude Haiku 4.5 and 85.4% for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 200K.
Side by side
| Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | Anthropic | xAI |
| Noometry Index | 39.3 | 48.5 |
| Released | 2025-10-15 | 2026-02-17 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1M |
| Max output | 64K | 30K |
| Input $ / M tokens | $1 | $1.25 |
| Output $ / M tokens | $5 | $2.50 |
| Results tracked | 53 | 46 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.9 (#71), Grok 4.20 (Non-Reasoning): 41.8 (#104)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena WebDev | 1330 | 1374 |
| WeirdML | 45.4% | 52.3% |
| LMArena Coding | 1454 | 1458 |
| ALE-Bench | 653.48 | 1,150 |
| SWE-bench Verified (bash only) | 66.6% | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
Agentic & Tool Use Too close to call
Claude Haiku 4.5: 33.5 (#50), Grok 4.20 (Non-Reasoning): 34.3 (#43)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | 35.5% | 57.3% |
| Vending-Bench 2 | 458.89 | 4,663 |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| τ²-bench Banking | — | 18% |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| LMArena Search | — | 1189 |
Reasoning Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 15.1 (#310), Grok 4.20 (Non-Reasoning): 52.2 (#30)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| ARC-AGI-2 | 4% | 65.1% |
| NYT Connections (extended) | 14.3% | 85.4% |
| ARC-AGI-1 | 47.7% | 89.5% |
| Chess Puzzles | 8% | 24% |
| LMArena Hard Prompts | 1420 | 1451 |
| DTBench | 73.6% | 90.1% |
| LMCA | 30.9% | 38.7% |
| Epoch Capabilities Index | 142.42 | 152.01 |
| ForecastBench | 61.4 | 61.4 |
| Kagi LLM Benchmark | — | 75% |
| CritPt | 0% | — |
| Thematic Generalization | — | 63.8% |
Math Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 43.0 (#69), Grok 4.20 (Non-Reasoning): 48.0 (#54)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 92.2% |
| LMArena Math | 1395 | 1455 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 14% |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 37.6 (#146), Grok 4.20 (Non-Reasoning): 52.8 (#54)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 71.2% | 89.3% |
| SimpleQA Verified | 13.2% | 30.2% |
| LMArena Expert | 1443 | 1440 |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 27.0 (#111), Grok 4.20 (Non-Reasoning): 33.2 (#88)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Blueprint-Bench 2 | 0% | 0% |
| LMArena Document | 1420 | 1416 |
| LMArena Vision | — | 1263 |
Multilingual Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 50.1 (#124), Grok 4.20 (Non-Reasoning): 54.7 (#38)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1376 | 1440 |
| LMArena Chinese | 1415 | 1481 |
| LMArena French | 1408 | 1477 |
| LMArena German | 1377 | 1463 |
| LMArena Japanese | 1339 | 1450 |
| LMArena Korean | 1346 | 1417 |
| LMArena Russian | 1380 | 1457 |
| LMArena Spanish | 1420 | 1442 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 71.6 (#144), Grok 4.20 (Non-Reasoning): 75.0 (#79)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1414 | 1420 |
| IFEval | 80.1% | — |
Long Context Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 43.6 (#86), Grok 4.20 (Non-Reasoning): 45.4 (#33)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1427 | 1436 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Claude Haiku 4.5: 58.1 (#119), Grok 4.20 (Non-Reasoning): 65.9 (#42)
| Benchmark | Claude Haiku 4.5 | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1396 | 1451 |
| LMArena Creative Writing | 1371 | 1439 |
| LMArena Multi-Turn | 1409 | 1456 |
| EQ-Bench Creative Writing | — | 1574 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 39.3 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Is Claude Haiku 4.5 or Grok 4.20 (Non-Reasoning) better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and Grok 4.20 (Non-Reasoning) share?
35 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.