Grok 3 Mini vs Mistral Small 4

For the most common agent/chat + retrieval use case, Grok 3 Mini is the better pick: it wins long-context (5/5) and tool-calling (5/5) in our testing. Mistral Small 4 is preferable when you need strict JSON/structured output, multilingual parity, or stronger creative/problem-solving (it wins those benchmarks). Costs trade off by token role: Grok charges less per output token, Mistral charges less for input.

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Grok 3 Mini

Overall
3.92/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
5/5
Multilingual
4/5
Tool Calling
5/5
Classification
4/5
Agentic Planning
3/5
Structured Output
4/5
Safety Calibration
2/5
Strategic Analysis
3/5
Persona Consistency
5/5
Constrained Rewriting
4/5
Creative Problem Solving
3/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.300/MTok

Output

$0.500/MTok

Context Window131K

modelpicker.net

mistral

Mistral Small 4

Overall
3.83/5Strong

Benchmark Scores

Faithfulness
4/5
Long Context
4/5
Multilingual
5/5
Tool Calling
4/5
Classification
2/5
Agentic Planning
4/5
Structured Output
5/5
Safety Calibration
2/5
Strategic Analysis
4/5
Persona Consistency
5/5
Constrained Rewriting
3/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.150/MTok

Output

$0.600/MTok

Context Window262K

modelpicker.net

Benchmark Analysis

Across our 12-test suite the matchup splits evenly: Grok 3 Mini wins 5 benchmarks, Mistral Small 4 wins 5, and 2 tie (safety calibration and persona consistency). Detailed outcomes (scores are our 1–5 proxies): Grok wins: long context 5 vs 4 (Grok tied for 1st out of 55 on long context), tool calling 5 vs 4 (Grok tied for 1st on tool calling), faithfulness 5 vs 4 (Grok tied for 1st on faithfulness), classification 4 vs 2 (Grok tied for 1st on classification), and constrained rewriting 4 vs 3 (Grok rank 6 of 53). Those wins point to better retrieval/30K+ context handling, more accurate function selection/argumenting for agents, and stronger source-faithful answers in our testing. Mistral wins: structured output 5 vs 4 (Mistral tied for 1st on structured output — better JSON/schema adherence), multilingual 5 vs 4 (Mistral tied for 1st on multilingual), creative problem solving 4 vs 3 (Mistral rank 9 of 54), agentic planning 4 vs 3 (Mistral rank 16 of 54), and strategic analysis 4 vs 3 (Mistral rank 27 of 54). Those wins show Mistral is preferable when strict schema outputs, non-English parity, and nuanced tradeoff reasoning are required. Ties: safety calibration (both 2) and persona consistency (both 5), so neither model holds a clear advantage on refusals or persona maintenance in our tests. Rankings context matters: Grok's long context, tool calling, faithfulness, and classification scores place it at or near the top of our tested pool for those specific capabilities; Mistral leads where format adherence and multilingual outputs are the priority.

BenchmarkGrok 3 MiniMistral Small 4
Faithfulness5/54/5
Long Context5/54/5
Multilingual4/55/5
Tool Calling5/54/5
Classification4/52/5
Agentic Planning3/54/5
Structured Output4/55/5
Safety Calibration2/52/5
Strategic Analysis3/54/5
Persona Consistency5/55/5
Constrained Rewriting4/53/5
Creative Problem Solving3/54/5
Summary5 wins5 wins

Pricing Analysis

Raw prices from the payload: Grok 3 Mini input $0.30 / mTok, output $0.50 / mTok; Mistral Small 4 input $0.15 / mTok, output $0.60 / mTok. Real-world examples assuming a balanced 50/50 input:output split: for 1M tokens/month Grok ≈ $400 vs Mistral ≈ $375; for 10M tokens Grok ≈ $4,000 vs Mistral ≈ $3,750; for 100M tokens Grok ≈ $40,000 vs Mistral ≈ $37,500. If your workload is output-heavy (e.g., 90% output), Grok becomes cheaper: 1M tokens → Grok $480 vs Mistral $555. If your workload is input-heavy (90% input), Mistral is much cheaper: 1M tokens → Grok $320 vs Mistral $195. Who should care: high-volume conversational/generation services (mostly output) should favor Grok for lower output cost; retrieval-intensive, long-prompt, or multimodal front-ends that send large input contexts should favor Mistral for its lower input price.

Real-World Cost Comparison

TaskGrok 3 MiniMistral Small 4
iChat response<$0.001<$0.001
iBlog post$0.0011$0.0013
iDocument batch$0.031$0.033
iPipeline run$0.310$0.330

Bottom Line

Choose Grok 3 Mini if you need robust long-context retrieval, reliable tool-calling/agent workflows, high faithfulness, or strong classification — especially when your workload is output-heavy (Grok charges $0.50/mTok output). Choose Mistral Small 4 if you require strict structured/json output, best-effort multilingual parity, or stronger creative/problem-solving and planning — and if your workload sends large input contexts (Mistral charges $0.15/mTok input). If cost is the tie-breaker, evaluate your input:output token ratio — Grok is cheaper per output token, Mistral is cheaper per input token.

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.

Frequently Asked Questions