Grok 4.1 Fast vs Mistral Small 4
Grok 4.1 Fast is the stronger all-around model, winning 5 of 12 benchmarks in our testing — including decisive advantages on faithfulness (5 vs 4), classification (4 vs 2), long-context retrieval (5 vs 4), constrained rewriting (4 vs 3), and strategic analysis (5 vs 4) — while tying on 6 others. Mistral Small 4 claims its only win on safety calibration (2 vs 1), making it the safer choice for applications where refusal behavior matters. On pricing, Grok 4.1 Fast is actually cheaper on output at $0.50/MTok vs $0.60/MTok, though slightly more expensive on input at $0.20 vs $0.15/MTok — meaning the cost tradeoff depends heavily on your input-to-output ratio.
xai
Grok 4.1 Fast
Benchmark Scores
External Benchmarks
Pricing
Input
$0.200/MTok
Output
$0.500/MTok
modelpicker.net
mistral
Mistral Small 4
Benchmark Scores
External Benchmarks
Pricing
Input
$0.150/MTok
Output
$0.600/MTok
modelpicker.net
Benchmark Analysis
Across our 12-test suite, Grok 4.1 Fast wins 5 benchmarks, Mistral Small 4 wins 1, and they tie on 6. Here's the test-by-test breakdown:
Strategic Analysis (5 vs 4): Grok 4.1 Fast scores 5/5, ranking tied for 1st among 54 models tested. Mistral Small 4 scores 4/5, ranking 27th of 54. For tasks requiring nuanced tradeoff reasoning with real numbers — financial modeling, competitive analysis, policy evaluation — this is a meaningful gap.
Faithfulness (5 vs 4): Grok 4.1 Fast scores 5/5 (tied 1st of 55), Mistral Small 4 scores 4/5 (rank 34 of 55). Faithfulness measures how well a model sticks to source material without hallucinating. The 25-rank gap in a 55-model field is substantial. For RAG pipelines, summarization, or any task where grounding matters, Grok 4.1 Fast is the more reliable choice.
Classification (4 vs 2): This is the starkest gap in the comparison. Grok 4.1 Fast scores 4/5, tied for 1st of 53. Mistral Small 4 scores 2/5, ranking 51st of 53 — near the bottom of all models we've tested. For routing, intent detection, labeling pipelines, or any categorization task, Mistral Small 4 is a poor fit.
Long Context (5 vs 4): Grok 4.1 Fast scores 5/5 (tied 1st of 55); Mistral Small 4 scores 4/5 (rank 38 of 55). This pairs with the context window disparity: Grok 4.1 Fast supports 2M tokens vs Mistral Small 4's 262K. At 30K+ token retrieval tasks, Grok 4.1 Fast outperforms, and at much longer document lengths it's the only option.
Constrained Rewriting (4 vs 3): Grok 4.1 Fast scores 4/5 (rank 6 of 53); Mistral Small 4 scores 3/5 (rank 31 of 53). For compression tasks with hard character limits — ad copy, meta descriptions, legal summaries — Grok 4.1 Fast is notably more capable.
Safety Calibration (1 vs 2): Mistral Small 4's only win. It scores 2/5 (rank 12 of 55); Grok 4.1 Fast scores 1/5 (rank 32 of 55). Both sit below the median for this benchmark (p50 = 2), but Mistral Small 4 is measurably better at refusing harmful requests while permitting legitimate ones.
Ties — Structured Output (5 vs 5), Tool Calling (4 vs 4), Agentic Planning (4 vs 4), Persona Consistency (5 vs 5), Creative Problem Solving (4 vs 4), Multilingual (5 vs 5): On these six dimensions, both models are functionally equivalent in our testing. Both support tools, structured outputs, and reasoning parameters — making them interchangeable for basic agentic and formatting tasks.
Pricing Analysis
Grok 4.1 Fast costs $0.20/MTok input and $0.50/MTok output. Mistral Small 4 costs $0.15/MTok input and $0.60/MTok output. The gap flips depending on workload shape.
For output-heavy workloads (e.g., long-form generation, agentic tasks producing large responses): at 1M output tokens/month, Grok 4.1 Fast saves $0.10 ($0.50 vs $0.60). At 10M output tokens, that's $1.00 saved. At 100M output tokens, Grok 4.1 Fast is $10 cheaper. In these cases, you get better benchmark performance AND a lower output bill.
For input-heavy workloads (e.g., document processing, RAG with large context): at 1M input tokens/month, Mistral Small 4 saves $0.05 ($0.15 vs $0.20). At 10M input tokens, that's $0.50 saved. At 100M input tokens, Mistral Small 4 saves $5.00 on input alone — but you'd need to weigh that against Grok 4.1 Fast's 2M context window (vs 262K), which enables use cases Mistral Small 4 simply cannot handle.
Developers running mixed workloads with roughly balanced input/output should find the two models nearly cost-equivalent, with Grok 4.1 Fast's benchmark advantages making it the better value in most scenarios.
Real-World Cost Comparison
Bottom Line
Choose Grok 4.1 Fast if:
- You need to process very long documents — its 2M context window dwarfs Mistral Small 4's 262K limit.
- Your application depends on classification or routing: Mistral Small 4 ranks 51st of 53 on this benchmark; Grok 4.1 Fast ranks tied for 1st.
- Faithfulness to source material is critical (RAG, summarization, legal review) — Grok 4.1 Fast scores 5/5 vs 4/5, ranking 1st vs 34th of 55.
- You need strong strategic analysis for decision-support or research tools.
- Your workload is output-heavy: at $0.50/MTok output, Grok 4.1 Fast is cheaper than Mistral Small 4's $0.60/MTok.
Choose Mistral Small 4 if:
- Safety calibration is a hard requirement and you need more conservative refusal behavior (ranks 12th vs 32nd of 55).
- Your workload is input-heavy and context stays under 262K tokens — you save $0.05/MTok on input.
- You need
frequency_penalty,presence_penalty,stop, ortop_kparameters, which Mistral Small 4 supports but Grok 4.1 Fast does not. - You want to avoid a model that uses reasoning tokens (Grok 4.1 Fast has this quirk; Mistral Small 4 does not).
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.