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Mistral Small 3 vs MiniMax M1

Detailed technical comparison between Mistral Small 3 (Mistral) and MiniMax M1 (MiniMax). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Mistral Small 3: 1 WinvsMiniMax M1: 5 Wins
Context Leader

MiniMax M1

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mistral Small 3

$0.10 / MTok
Mistralactive

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

View Mistral Small 3 Full Specs โ†’
MiniMaxactive

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

View MiniMax M1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationMistral Small 3MiniMax M1
ProviderMistralMiniMax
Context Window32,768 tokens1,000,000 tokens๐Ÿ†
Agent Suitability84/100 (est.)Not yet benchmarked
Time to First Token (TTFT)120 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-01-302025-06-17

API Pricing Comparison

Input Price per Million Tokens

Mistral Small 3

$0.10

MiniMax M1

$0.55

Output Price per Million Tokens

Mistral Small 3

$0.30

MiniMax M1

$2.20

๐Ÿ’ก Cost Ratio: Mistral Small 3 is 5.5x cheaper per input token than MiniMax M1.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.2%vs86.8%+5.6% MiniMax M1
Mistral Small 3
MiniMax M1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
83.0%vs86.0%+3.0% MiniMax M1
Mistral Small 3
MiniMax M1 ๐Ÿ†
MATHComplex mathematical problem solving
68.0%vs67.2%+0.8% Mistral Small 3
Mistral Small 3 ๐Ÿ†
MiniMax M1
GPQAGraduate-level expert reasoning
45.0%vs48.6%+3.6% MiniMax M1
Mistral Small 3
MiniMax M1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
85.0%vs87.8%+2.8% MiniMax M1
Mistral Small 3
MiniMax M1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.3%vs9.0%+0.7% MiniMax M1
Mistral Small 3
MiniMax M1 ๐Ÿ†

Mistral Small 3 Quirks & Gotchas

  • โ–ธFastest TTFT at lowest cost โ€” ideal for high-volume classification
  • โ–ธNot designed for complex reasoning โ€” route multi-step tasks to Mistral Large 3

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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