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

Mistral: Mistral Small 3.2 24B vs Qwen 2.5 Plus benchmark

Name: Mistral: Mistral Small 3.2 24B vs Qwen 2.5 Plus AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Mistral: Mistral Small 3.2 24B (Mistral) and Qwen 2.5 Plus (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Mistral: Mistral Small 3.2 24B wins on output price at $0.25/1M. Mistral: Mistral Small 3.2 24B has the larger context window (256k 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: 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

Alibaba

Qwen 2.5 Plus

Alibaba balanced flagship API model with high-throughput general reasoning.

Elo 1,445$1/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Mistral: Mistral Small 3.2 24B (3)vsQwen 2.5 Plus (7)

Mistral: Mistral Small 3.2 24B: 3W (30%)Overall: Qwen 2.5 PlusQwen 2.5 Plus: 7W (70%)

← Mistral: Mistral Small 3.2 24BQwen 2.5 Plus →

Qwen 2.5 Plus (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,445

Coding Elo

—vs1,460

SWE-bench

—vs59.2%

LiveBench

—vs63.5%

GPQA Diamond

—vs75.8%

Mistral: Mistral Small 3.2 24B: 0WQwen 2.5 Plus: 5W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs110 tok/s

Time to first token

—vs180 ms

Mistral: Mistral Small 3.2 24B: 0WQwen 2.5 Plus: 2W

Mistral: Mistral Small 3.2 24B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.25/1Mvs$1/1M

Input price

$0.0938/1Mvs$0.25/1M

Context window

256kvs128k

Mistral: Mistral Small 3.2 24B: 3WQwen 2.5 Plus: 0W

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.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageQwen 2.5 Plus 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Mistral: Mistral Small 3.2 24B

$0.75/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,445

Code Elo

High is better

—

Code EloHigh is better

1,460

LiveBench

High is better

—

LiveBenchHigh is better

63.5%

SWE-bench

High is better

—

SWE-benchHigh is better

59.2%

GPQA

High is better

—

GPQAHigh is better

75.8%

TTFT

Low is better

—

TTFTLow is better

180 ms

Speed

High is better

—

SpeedHigh is better

110 tok/s

In $

Low is better

+167%$0.09 / 1M

In $Low is better

$0.25 / 1M

Out $

Low is better

+300%$0.25 / 1M

Out $Low is better

$1.00 / 1M

Context

High is better

+100%256k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 70% 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)

Mistral: Mistral Small 3.2 24B$7.03 / mo

In: $3.28Out: $3.75

Qwen 2.5 Plus$23.75 / mo

In: $8.75Out: $15

Estimated Cost Delta

Mistral: Mistral Small 3.2 24B is estimated to save $16.72/month ($201/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 / visionQwen 2.5 Plus

Qwen 2.5 Plus 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	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

Mistral

Mistral: Mistral Small 3.2 24B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.25/1M

Alibaba

Qwen 2.5 Plus

Elo 1,445

LiveBench63.5%

SWE-bench59.2%

Speed110 tok/s

Output cost$1/1M

Frequently Asked Questions

Which is better overall, Mistral: Mistral Small 3.2 24B or Qwen 2.5 Plus?: 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: Mistral Small 3.2 24B or Qwen 2.5 Plus?: 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 $1/1M. Input prices and retry rates still move the real bill.
Which is faster, Mistral: Mistral Small 3.2 24B or Qwen 2.5 Plus?: 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. Mistral: Mistral Small 3.2 24B and Qwen 2.5 Plus Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Mistral: Mistral Small 3.2 24B matchups →|All Qwen 2.5 Plus matchups →

Qwen 2.5 Plus vs Qwen2.5 Coder 32B Instruct (previous qwen)Qwen 2.5 Plus vs Qwen 2.5 Coder 32B (next qwen)Qwen 3 Max vs Qwen 2.5 Plus Mistral Large 3 vs Qwen 2.5 Plus Qwen QwQ 32B vs Qwen 2.5 Plus Codestral 25.01 vs Qwen 2.5 Plus

Mistral: Mistral Small 3.2 24B vs Qwen 2.5 Plus benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Mistral: Mistral Small 3.2 24B (3)vsQwen 2.5 Plus (7)

Mistral: Mistral Small 3.2 24B: 3W (30%)Overall: Qwen 2.5 PlusQwen 2.5 Plus: 7W (70%)

← Mistral: Mistral Small 3.2 24BQwen 2.5 Plus →

Qwen 2.5 Plus (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,445

Coding Elo

—vs1,460

SWE-bench

—vs59.2%

LiveBench

—vs63.5%

GPQA Diamond

—vs75.8%

Mistral: Mistral Small 3.2 24B: 0WQwen 2.5 Plus: 5W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs110 tok/s

Time to first token

—vs180 ms

Mistral: Mistral Small 3.2 24B: 0WQwen 2.5 Plus: 2W

Mistral: Mistral Small 3.2 24B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.25/1Mvs$1/1M

Input price

$0.0938/1Mvs$0.25/1M

Context window

256kvs128k

Mistral: Mistral Small 3.2 24B: 3WQwen 2.5 Plus: 0W

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 / visionQwen 2.5 Plus

Qwen 2.5 Plus 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	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Mistral: Mistral Small 3.2 24B or Qwen 2.5 Plus?

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: Mistral Small 3.2 24B or Qwen 2.5 Plus?

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 $1/1M. Input prices and retry rates still move the real bill.

Which is faster, Mistral: Mistral Small 3.2 24B or Qwen 2.5 Plus?

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. Mistral: Mistral Small 3.2 24B and Qwen 2.5 Plus Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.