Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Mistral Large 3 vs OpenAI: o4 Mini (batch) benchmark

Name: Mistral Large 3 vs OpenAI: o4 Mini (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Mistral Large 3 (Mistral) and OpenAI: o4 Mini (batch) (OpenAI) using the latest snapshots we have as of Aug 16, 2026. OpenAI: o4 Mini (batch) wins on output price at $2.2/1M. OpenAI: o4 Mini (batch) has the larger context window (200k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Mistral

Mistral Large 3

Mistral European flagship with strong function calling.

Elo 1,456$6/1M out

OpenAI

OpenAI: o4 Mini (batch)

Auto-discovered from OpenRouter (openai/o4-mini:batch). Preview until a second source matches.

$2.2/1M out

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Mistral Large 3 (6)vsOpenAI: o4 Mini (batch) (3)

Mistral Large 3: 6W (67%)Overall: Mistral Large 3OpenAI: o4 Mini (batch): 3W (33%)

← Mistral Large 3OpenAI: o4 Mini (batch) →

Mistral Large 3 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,456vs—

Coding Elo

—vs—

SWE-bench

55.4%vs—

LiveBench

61.8%vs—

GPQA Diamond

74.1%vs—

Mistral Large 3: 4WOpenAI: o4 Mini (batch): 0W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs—

Time to first token

190 msvs—

Mistral Large 3: 2WOpenAI: o4 Mini (batch): 0W

OpenAI: o4 Mini (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$6/1Mvs$2.2/1M

Input price

$2/1Mvs$0.55/1M

Context window

128kvs200k

Mistral Large 3: 0WOpenAI: o4 Mini (batch): 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

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Percentile 0–100

Dimensional AdvantageMistral Large 3 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

OpenAI: o4 Mini (batch)

$3.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,456

EloHigh is better

—

LiveBench

High is better

61.8%

LiveBenchHigh is better

—

SWE-bench

High is better

55.4%

SWE-benchHigh is better

—

GPQA

High is better

74.1%

GPQAHigh is better

—

TTFT

Low is better

190 ms

TTFTLow is better

—

Speed

High is better

112 tok/s

SpeedHigh is better

—

In $

Low is better

$2/1M

In $Low is better

$0.55/1M+264%

Out $

Low is better

$6/1M

Out $Low is better

$2.2/1M+173%

Context

High is better

128k

ContextHigh is better

200k+56%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 67% with OpenAI: o4 Mini (batch)

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Mistral Large 3$160.00 / mo

In: $70.00Out: $90.00

OpenAI: o4 Mini (batch)$52.25 / mo

In: $19.25Out: $33.00

Estimated Cost Delta

OpenAI: o4 Mini (batch) is estimated to save $107.75/month ($1,293/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o4 Mini (batch):Pick OpenAI: o4 Mini (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o4 Mini (batch)

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o4 Mini (batch)

Larger window (200k).

Screenshots / visionMistral Large 3

Mistral Large 3 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	OpenAI: o4 Mini (batch)	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: o4 Mini (batch)	Larger window (200k).
Screenshots / vision	Mistral Large 3	Mistral Large 3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchJan 18, 2026

Mistral Large 3: the European flagship with function calling

Jan 2026. Not the Elo crown. Useful when residency and tools matter more than Arena.

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LIVE

Mistral

Mistral Large 3

Elo 1,456

LiveBench61.8%

SWE-bench55.4%

Speed112 tok/s

Output cost$6/1M

OpenAI

OpenAI: o4 Mini (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.2/1M

Frequently Asked Questions

Which is better overall, Mistral Large 3 or OpenAI: o4 Mini (batch)?: 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, Mistral Large 3 or OpenAI: o4 Mini (batch)?: 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?: OpenAI: o4 Mini (batch) output tokens are $2.2/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Mistral Large 3 or OpenAI: o4 Mini (batch)?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: o4 Mini (batch) accepts 200k 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. Mistral Large 3 and OpenAI: o4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Mistral Large 3 matchups →|All OpenAI: o4 Mini (batch) matchups →

Mistral Large 3 vs Codestral 25.01 (previous mistral)GPT-4.5 Orion vs Mistral Large 3 GPT-5.6 Terra vs Mistral Large 3 GPT-5 vs Mistral Large 3 GPT-5.6 Sol vs Mistral Large 3 GPT-5.6 Luna vs Mistral Large 3

Mistral Large 3 vs OpenAI: o4 Mini (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Mistral Large 3 (6)vsOpenAI: o4 Mini (batch) (3)

Mistral Large 3: 6W (67%)Overall: Mistral Large 3OpenAI: o4 Mini (batch): 3W (33%)

← Mistral Large 3OpenAI: o4 Mini (batch) →

Mistral Large 3 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,456vs—

Coding Elo

—vs—

SWE-bench

55.4%vs—

LiveBench

61.8%vs—

GPQA Diamond

74.1%vs—

Mistral Large 3: 4WOpenAI: o4 Mini (batch): 0W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs—

Time to first token

190 msvs—

Mistral Large 3: 2WOpenAI: o4 Mini (batch): 0W

OpenAI: o4 Mini (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$6/1Mvs$2.2/1M

Input price

$2/1Mvs$0.55/1M

Context window

128kvs200k

Mistral Large 3: 0WOpenAI: o4 Mini (batch): 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o4 Mini (batch)

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o4 Mini (batch)

Larger window (200k).

Screenshots / visionMistral Large 3

Mistral Large 3 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	OpenAI: o4 Mini (batch)	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: o4 Mini (batch)	Larger window (200k).
Screenshots / vision	Mistral Large 3	Mistral Large 3 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Mistral Large 3 or OpenAI: o4 Mini (batch)?

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, Mistral Large 3 or OpenAI: o4 Mini (batch)?

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?

OpenAI: o4 Mini (batch) output tokens are $2.2/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, Mistral Large 3 or OpenAI: o4 Mini (batch)?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: o4 Mini (batch) accepts 200k 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. Mistral Large 3 and OpenAI: o4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: o4 Mini (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Mistral Large 3: the European flagship with function calling

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Mistral Large 3

OpenAI: o4 Mini (batch)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: o4 Mini (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Mistral Large 3: the European flagship with function calling

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Mistral Large 3

OpenAI: o4 Mini (batch)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons