whatmodel.sh / Grok 4.1 Fast (Non-Reasoning)
Grok 4.1 Fast (Non-Reasoning)
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Grok 4.1 Fast (Non-Reasoning) is a closed-weights language model from SpaceXAI (xAI), released November 2025. Licence: proprietary.
Catalogue identity notes
xAI API model 'grok-4-1-fast-non-reasoning', the non-reasoning mode of Grok 4.1 Fast; a separate API model id from the catalogued grok-4-1-fast-reasoning (whose identity note already calls the non-reasoning variant distinct). Release month taken from the reasoning sibling (same Grok 4.1 Fast launch). Proposed so its BFCL V4 (2025-12-16) and Vectara hallucination-leaderboard rows can be recorded; both are multi-model runs.
$ how it compares
The LLMs ranked either side of Grok 4.1 Fast (Non-Reasoning), out of 1132 with a score, then more from SpaceXAI (xAI).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 179 |  Spark-X2.5 4B | 66±1 | local | ||
| 180 |  MiniMax-M2.1 | 66±1 | local | ||
| 181 | Grok 4.1 Fast (Non-Reasoning) | 66±5 | api $0.28/M | ||
| 182 |  Nemotron Cascade 2 30B-A3B | 66±1 | local | ||
| 183 |  Laguna XS 2.1 (33B-A3B) | 66±2 | local | ||
| more from SpaceXAI (xAI) | |||||
| 30 | Grok 4.6 | 77±1 | api $3.00/M | ||
| 42 | Grok 4.5 | 75±1 | api $3.00/M | ||
| 47 | Grok 4.7 | 75±1 | api $3.00/M | ||
$ what it's good at
agent tasks▁▁▃▆█▆▅▄▄▃▂▁ #129 of 334 * · 91% of its score · 1 test
Beats o3, Gemini 2.5 Pro, Gemini 3.1 Flash-Lite here, though they rank higher overall. Trails SmolLM3 3B, Jamba 1.5 Large, MiniCPM5 2B here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| BFCL V4 (December 2025 archive) | 58.3% ✎ | ▁▁▁▂██▅▅▆▃▂▂ beats 69/77 | 91% |
other tests1 not in a task · 0.1% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Vectara hallucination leaderboard (HHEM-2.3, factual consistency rate) | 82.2% ✎ | ▁▂▃▂▅█▂▃▄▃▁▁ beats 9/98 | 0.1% |
$ where to run it
Through an API
api · Microsoft Azure · $0.28/M · $0.2 in / $0.5 out per 1M tokens · 128k context · learn.microsoft.com ↗ · price sourceUSD per 1M tokens, Azure AI Foundry Models pay-as-you-go (xAI Grok table), row 'Grok 4.1 Fast Global': input $0.20, output $0.50 (us-east; the amounts are in the page's price-data attributes). The row is not split by reasoning mode; Azure's Foundry models page lists grok-4.1-fast-non-reasoning and grok-4.1-fast-reasoning as separate deployable chat-completion models. Same price row as the catalogued grok-4-1-fast-reasoning. Microsoft Azure official pricing page, observed 2026-10-09.
$ how the score was worked out · Berkeley Function Calling Lea… 91%, Vectara hallucination leaderb… 0%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 Berkeley Function Calling Leaderboard result archive | 1 | 91% |
 Vectara hallucination leaderboard (vectara/hallucination-leaderboard repository) | 1 | 0% |
| prior · pull toward the middle | 9% | |
| weighted average | = 65.7 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json