Model comparison
Grok 4.1 Fast vs Llama 4 Scout
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 27.7 on the Noometry Index. Llama 4 Scout costs 1.8× less per token, which makes it the better buy when Grok 4.1 Fast's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. Grok 4.1 Fast scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 9.1.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 69.6% for Grok 4.1 Fast and 28.1% for Llama 4 Scout.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.20 / $0.50 for Grok 4.1 Fast.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| Grok 4.1 Fast | Llama 4 Scout | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 41.4 | 27.7 |
| Released | 2025-06-27 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 30K | 4K |
| Input $ / M tokens | $0.20 | $0.10 |
| Output $ / M tokens | $0.50 | $0.30 |
| Results tracked | 32 | 43 |
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Category by category
Coding Grok 4.1 Fast leads
Grok 4.1 Fast: 34.1 (#245), Llama 4 Scout: 20.2 (#339)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1411 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| LMArena WebDev | 1242 | — |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |
| ALE-Bench | 394.93 | — |
Agentic & Tool Use Grok 4.1 Fast leads
Grok 4.1 Fast: 36.3 (#39), Llama 4 Scout: 24.6 (#119)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | 69.6% | 28.1% |
| τ²-bench Banking | 13.1% | — |
| LMArena Search | 1171 | — |
| Vending-Bench 2 | 1,107 | — |
Reasoning Grok 4.1 Fast leads
Grok 4.1 Fast: 43.4 (#49), Llama 4 Scout: 9.1 (#345)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1407 | 1266 |
| DTBench | 87.7% | 57.9% |
| ForecastBench | 61 | 57.5 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 56% | — |
| Kagi LLM Benchmark | — | 36.9% |
| NYT Connections (extended) | 87.4% | — |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
Math Grok 4.1 Fast leads
Grok 4.1 Fast: 31.9 (#221), Llama 4 Scout: 19.6 (#286)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1408 | 1287 |
| MathArena Final-Answer Competitions | 60.9% | — |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| ProofBench | 4% | — |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Grok 4.1 Fast leads
Grok 4.1 Fast: 33.1 (#207), Llama 4 Scout: 31.9 (#217)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| Vectara Hallucination Rate | 17.8% | 7.7% |
| LMArena Expert | 1399 | 1235 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| GPQA (HELM) | — | 50.7% |
Multimodal Grok 4.1 Fast leads
Grok 4.1 Fast: 37.0 (#76), Llama 4 Scout: 32.2 (#102)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1201 | 1118 |
| SpatialViz-Bench | — | 34.2% |
Multilingual Grok 4.1 Fast leads
Grok 4.1 Fast: 51.0 (#114), Llama 4 Scout: 41.0 (#212)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1391 | 1252 |
| LMArena Chinese | 1441 | 1255 |
| LMArena French | 1415 | 1282 |
| LMArena German | 1404 | 1272 |
| LMArena Japanese | 1349 | 1206 |
| LMArena Korean | 1361 | 1207 |
| LMArena Russian | 1387 | 1263 |
| LMArena Spanish | 1413 | 1278 |
Instruction Following Grok 4.1 Fast leads
Grok 4.1 Fast: 72.7 (#133), Llama 4 Scout: 65.8 (#217)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1376 | 1248 |
| IFEval | — | 81.8% |
Long Context Grok 4.1 Fast leads
Grok 4.1 Fast: 42.4 (#126), Llama 4 Scout: 27.5 (#294)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1390 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference Grok 4.1 Fast leads
Grok 4.1 Fast: 57.2 (#131), Llama 4 Scout: 37.0 (#261)
| Benchmark | Grok 4.1 Fast | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1408 | 1279 |
| LMArena Creative Writing | 1394 | 1249 |
| EQ-Bench Creative Writing | 1327 | 783 |
| LMArena Multi-Turn | 1389 | 1280 |
| WildBench | — | 78% |
Frequently asked questions
Is Grok 4.1 Fast better than Llama 4 Scout?
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 27.7 on the Noometry Index. Llama 4 Scout costs 1.8× less per token, which makes it the better buy when Grok 4.1 Fast's lead doesn't matter for your workload.
Which is cheaper, Grok 4.1 Fast or Llama 4 Scout?
Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Grok 4.1 Fast lists at $0.20 and $0.50.
Is Grok 4.1 Fast or Llama 4 Scout better for coding?
Grok 4.1 Fast scores higher on coding benchmarks: 34.1 versus 20.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Grok 4.1 Fast and Llama 4 Scout share?
23 benchmarks have published results for both models. Grok 4.1 Fast has 32 scored results on Noometry and Llama 4 Scout has 43.