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Mistral Small 3.1 24B vs Qwen3 32B

Mistral Small 3.1 24B

Mistral AI

40#338
vs
Qwen3 32B

Alibaba

40#337
Signal-by-Signal Comparison
SignalMistral Small 3.1 24BDeltaQwen3 32B
Capabilities
33
-33
67
Pricing
99
0
100
Context window size
81
0
81
Recency
40
-8
48
Output Capacity
85
+15
70
Overall Result
1 wins
of 5
4 wins
Qwen3 32B wins 4 of 5 signals

Score History

Score History (25 data points)
Mistral Small 3.1 24BQwen3 32B
Mistral Small 3.1 24B

40

current score

Leader

Tied

right now

Qwen3 32B

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mistral Small 3.1 24B

Mistral AI

Per request$0.000628
Daily$2.09
Monthly$62.85
Annual$754.20

Qwen3 32B

Alibaba

Best Value
Per request$0.000220
Daily$0.73
Monthly$22.00
Annual$264.00

Qwen3 32B saves you $40.85/month

That's $490.20/year compared to Mistral Small 3.1 24B at your current usage level of 100K calls/month.

65% cheaper
Choose Qwen3 32B for cost optimization

Mistral Small 3.1 24B pricing:
Input:$0.35/M tokens
Output:$0.55/M tokens
Qwen3 32B pricing:
Input:$0.08/M tokens
Output:$0.28/M tokens
Tie
Mistral Small 3.1 24B

Mistral AI

40

Composite Score

Tie
Qwen3 32B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricMistral Small 3.1 24BQwen3 32BWinner
Overall Score
40
40
--
Rank#338#337
Qwen3 32B
Quality Rank#338#337
Qwen3 32B
Adoption Rank#338#337
Qwen3 32B
Parameters24B32B--
Context Window128K131K
Qwen3 32B
Pricing$0.35/$0.55/M$0.08/$0.28/M--
Signal Scores
Capabilities
33
67
Qwen3 32B
Pricing
99
100
Qwen3 32B
Context window size
81
81
Qwen3 32B
Recency
40
48
Qwen3 32B
Output Capacity
85
70
Mistral Small 3.1 24B
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Mistral Small 3.1 24BEntry Level

Scores 40/100 (rank #338), placing it in the top -16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 32BEntry Level

Scores 40/100 (rank #337), placing it in the top -16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Mistral Small 3.1 24B when you need:

  • Multimodal workflows that require image understanding
  • Self-hosted deployments where you need full control over the model

Choose Qwen3 32B when you need:

  • High-volume production workloads where API costs must be minimized
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Small 3.1 24B
Input cost$0.35/M tokens
Output cost$0.55/M tokens
Cost per quality point$0.023
Est. monthly (1M tokens/day)$13.59
Qwen3 32BBest Value
Input cost$0.08/M tokens
Output cost$0.28/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$5.40

Qwen3 32B offers 60% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Qwen3 32B vs $13.59/month with Mistral Small 3.1 24B - a $8.19 monthly difference.

Latency & Speed
Mistral Small 3.1 24BFaster
Speed score0/100
Qwen3 32B
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mistral Small 3.1 24B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3 32B also offers lower per-token costs for high-volume support

Mistral Small 3.1 24B

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3 32B

Batch data extraction

Lower output pricing ($0.28/M) reduces costs when processing thousands of records daily

Qwen3 32B

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Mistral Small 3.1 24B

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Mistral Small 3.1 24B
Which Should You Choose?
Our recommendation:
Mistral Small 3.1 24B

Mistral Small 3.1 24B and Qwen3 32B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Alibaba

  • Choose for Cost - 60% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Small 3.1 24BQwen3 32B
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Small 3.1 24B

Mistral AI

$1.30
estimated monthly cost

Qwen3 32B

Alibaba

Best Value
$0.4800
estimated monthly cost

Qwen3 32B saves you $0.8178/month

That's 63% cheaper than Mistral Small 3.1 24B at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMistral Small 3.1 24BQwen3 32B
Context Window128K131K
Max Output Tokens128,00016,384
Open SourceYesYes
CreatedMar 17, 2025Apr 28, 2025
Last updated: 31m ago

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Mistral Small 3.1 24B vs Qwen3 32B (2026) | LM Market Cap