Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

GPT-4o mini vs Mistral: Mistral Small 3.2 24B benchmark

Name: GPT-4o mini vs Mistral: Mistral Small 3.2 24B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Mistral: Mistral Small 3.2 24B is more budget-friendly at $0.25/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

GPT-4o mini (0)Mistral: Mistral Small 3.2 24B (3)

GPT-4o mini

0 of 3 Wins

Competitive baseline across remaining benchmarks

Mistral: Mistral Small 3.2 24B

3 of 3 Wins

✓Input price✓Output price✓Context window

OpenAI

GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out

Mistral

Leads 3 of 3 metrics

Mistral: Mistral Small 3.2 24B

Auto-discovered from OpenRouter (mistralai/mistral-small-3.2-24b-instruct). Preview until a second source matches.

$0.25/1M out

GPT-4 Series Lineage & Sibling Variants

4 models

Currently comparing GPT-4o mini vs Mistral: Mistral Small 3.2 24B. Alternative family tiers available.

Active: GPT-4o mini

GPT-4o$10 GPT-4.5 Orion$150 OpenAI: GPT-4$60

Top Rival Showdowns for GPT-4o mini

All Matchups

Compare vs:vs Claude Opus 4.5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMistral: Mistral Small 3.2 24B Wins

Mistral: Mistral Small 3.2 24B

$0.25 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GPT-4o mini (6)vsMistral: Mistral Small 3.2 24B (3)

GPT-4o mini: 6W (67%)Overall: GPT-4o miniMistral: Mistral Small 3.2 24B: 3W (33%)

← GPT-4o miniMistral: Mistral Small 3.2 24B →

🏆GPT-4o mini(4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark

GPT-4o minivsMistral: Mistral Small 3.2 24B

Preference Elo

1,272vs—

Coding Elo

—vs—

SWE-bench

41.2%vs—

LiveBench

48.1%vs—

GPQA Diamond

60.1%vs—

GPT-4o mini: 4WMistral: Mistral Small 3.2 24B: 0W

🏆GPT-4o mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

GPT-4o minivsMistral: Mistral Small 3.2 24B

Output speed

160 tok/svs—

Time to first token

130 msvs—

GPT-4o mini: 2WMistral: Mistral Small 3.2 24B: 0W

🏆Mistral: Mistral Small 3.2 24B(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

GPT-4o minivsMistral: Mistral Small 3.2 24B

Output price

$0.6/1Mvs$0.25/1M+$0.35/1M

Input price

$0.15/1Mvs$0.094/1M+$0.056/1M

Context window

128kvs256k+128k

GPT-4o mini: 0WMistral: Mistral Small 3.2 24B: 3W

Side-by-Side Benchmark Matrix

Preference Elo

GPT-4o mini1,272

lmarena · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

LiveBench

GPT-4o mini48.1%

livebench · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

SWE-bench

GPT-4o mini41.2%

swebench · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

GPQA Diamond

GPT-4o mini60.1%

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Time to first token

GPT-4o mini130 ms

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Output speed

GPT-4o mini160 tok/s

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Input price+$0.056/1M

GPT-4o mini$0.15/1M

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B$0.094/1M

openrouter · Aug 17, 2026

Output price+$0.35/1M

GPT-4o mini$0.6/1M

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B$0.25/1M

openrouter · Aug 17, 2026

Context window+128k

GPT-4o mini128k

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B256k

openrouter · Aug 17, 2026

Benchmark	GPT-4o mini	Mistral: Mistral Small 3.2 24B	Advantage Delta
Preference Elo	1,272 lmarena · Aug 17, 2026	—	—
LiveBench	48.1% livebench · Aug 17, 2026	—	—
SWE-bench	41.2% swebench · Aug 17, 2026	—	—
GPQA Diamond	60.1% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	130 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	160 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.15/1M openrouter · Aug 17, 2026	$0.094/1M openrouter · Aug 17, 2026	+$0.056/1M
Output price	$0.6/1M openrouter · Aug 17, 2026	$0.25/1M openrouter · Aug 17, 2026	+$0.35/1M
Context window	128k openrouter · Aug 17, 2026	256k openrouter · Aug 17, 2026	+128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 51% with Mistral: Mistral Small 3.2 24B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-4o mini$14.25 / mo

In: $5.25Out: $9

Mistral: Mistral Small 3.2 24B$7.03 / mo

In: $3.28Out: $3.75

Estimated Cost Delta

Mistral: Mistral Small 3.2 24B is estimated to save $7.22/month ($87/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Mistral: Mistral Small 3.2 24B:Pick Mistral: Mistral Small 3.2 24B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Small 3.2 24B

Lower output list price ($0.25/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Small 3.2 24B

Larger window (256k).

Screenshots / visionGPT-4o mini

GPT-4o mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Mistral Small 3.2 24B	Lower output list price ($0.25/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Small 3.2 24B	Larger window (256k).
Screenshots / vision	GPT-4o mini	GPT-4o mini is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

GPT-4o mini

Elo 1,272

SWE-bench41.2%

Speed (tok/s)160 tok/s

Input / 1M Tokens$0.15/1M

Output / 1M Tokens$0.6/1M

Mistral

Mistral: Mistral Small 3.2 24B

Elo n/a

SWE-bench—

Speed (tok/s)256k

Input / 1M Tokens$0.094/1M

Output / 1M Tokens$0.25/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or Mistral: Mistral Small 3.2 24B?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-4o mini or Mistral: Mistral Small 3.2 24B?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Mistral: Mistral Small 3.2 24B output tokens are $0.25/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or Mistral: Mistral Small 3.2 24B?: We do not have TTFT for both models.
Which has the larger context window?: Mistral: Mistral Small 3.2 24B accepts 256k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4o mini and Mistral: Mistral Small 3.2 24B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4o mini matchups →|All Mistral: Mistral Small 3.2 24B matchups →

GPT-4o mini vs OpenAI o1-mini (next gpt-mini)GPT-5 vs GPT-4o mini GPT-4.5 Orion vs GPT-4o mini Mistral Large 3 vs GPT-4o mini GPT-5.6 Sol vs GPT-4o mini GPT-5.6 Terra vs GPT-4o mini

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Preference Elo

GPT-4o mini1,272

lmarena · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

LiveBench

GPT-4o mini48.1%

livebench · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

SWE-bench

GPT-4o mini41.2%

swebench · Aug 17, 2026

Mistral: Mistral Small 3.2 24B—

GPQA Diamond

GPT-4o mini60.1%

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Time to first token

GPT-4o mini130 ms

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Output speed

GPT-4o mini160 tok/s

seed-bootstrap · Aug 1, 2026

Mistral: Mistral Small 3.2 24B—

Input price+$0.056/1M

GPT-4o mini$0.15/1M

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B$0.094/1M

openrouter · Aug 17, 2026

Output price+$0.35/1M

GPT-4o mini$0.6/1M

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B$0.25/1M

openrouter · Aug 17, 2026

Context window+128k

GPT-4o mini128k

openrouter · Aug 17, 2026

Mistral: Mistral Small 3.2 24B256k

openrouter · Aug 17, 2026

Benchmark

GPT-4o mini

Mistral: Mistral Small 3.2 24B

Advantage Delta

Preference Elo

1,272

lmarena · Aug 17, 2026

—

LiveBench

48.1%

livebench · Aug 17, 2026

—

SWE-bench

41.2%

swebench · Aug 17, 2026

—

GPQA Diamond

60.1%

seed-bootstrap · Aug 1, 2026

—

Time to first token

130 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

160 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.15/1M

openrouter · Aug 17, 2026

$0.094/1M

openrouter · Aug 17, 2026

+$0.056/1M

Output price

$0.6/1M

openrouter · Aug 17, 2026

$0.25/1M

openrouter · Aug 17, 2026

+$0.35/1M

Context window

128k

openrouter · Aug 17, 2026

256k

openrouter · Aug 17, 2026

+128k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Small 3.2 24B

Lower output list price ($0.25/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Small 3.2 24B

Larger window (256k).

Screenshots / visionGPT-4o mini

GPT-4o mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Mistral Small 3.2 24B	Lower output list price ($0.25/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Small 3.2 24B	Larger window (256k).
Screenshots / vision	GPT-4o mini	GPT-4o mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4o mini or Mistral: Mistral Small 3.2 24B?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, GPT-4o mini or Mistral: Mistral Small 3.2 24B?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Mistral: Mistral Small 3.2 24B output tokens are $0.25/1M versus $0.6/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4o mini or Mistral: Mistral Small 3.2 24B?

We do not have TTFT for both models.

Which has the larger context window?

Mistral: Mistral Small 3.2 24B accepts 256k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-4o mini and Mistral: Mistral Small 3.2 24B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.