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Mistral Medium 3.1 vs Qwen3 VL 32B Instruct

Mistral Medium 3.1

Mistral AI

40#322
vs
Signal-by-Signal Comparison
SignalMistral Medium 3.1DeltaQwen3 VL 32B Instruct
Capabilities
67
--
67
Pricing
98
-2
100
Context window size
81
--
81
Recency
67
-13
80
Output Capacity
20
-55
75
Overall Result
0 wins
of 5
3 wins
Qwen3 VL 32B Instruct wins 3 of 5 signals

Score History

Score History (25 data points)
Mistral Medium 3.1Qwen3 VL 32B Instruct
Mistral Medium 3.1

40

current score

Leader

Tied

right now

Qwen3 VL 32B Instruct

40

current score

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

Mistral Medium 3.1

Mistral AI

Per request$0.001400
Daily$4.67
Monthly$140.00
Annual$1680.00

Qwen3 VL 32B Instruct

Alibaba

Best Value
Per request$0.000312
Daily$1.04
Monthly$31.20
Annual$374.40

Qwen3 VL 32B Instruct saves you $108.80/month

That's $1305.60/year compared to Mistral Medium 3.1 at your current usage level of 100K calls/month.

78% cheaper
Choose Qwen3 VL 32B Instruct for cost optimization

Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Qwen3 VL 32B Instruct pricing:
Input:$0.10/M tokens
Output:$0.42/M tokens
Tie
Mistral Medium 3.1

Mistral AI

40

Composite Score

Tie
Qwen3 VL 32B Instruct

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricMistral Medium 3.1Qwen3 VL 32B InstructWinner
Overall Score
40
40
--
Rank#322#310
Qwen3 VL 32B Instruct
Quality Rank#322#310
Qwen3 VL 32B Instruct
Adoption Rank#322#310
Qwen3 VL 32B Instruct
Parameters--32B--
Context Window131K131K--
Pricing$0.40/$2.00/M$0.10/$0.42/M--
Signal Scores
Capabilities
67
67
Mistral Medium 3.1
Pricing
98
100
Qwen3 VL 32B Instruct
Context window size
81
81
Mistral Medium 3.1
Recency
67
80
Qwen3 VL 32B Instruct
Output Capacity
20
75
Qwen3 VL 32B Instruct
Benchmark Head-to-Head(1 benchmarks)
Mistral Medium: 0Qwen3 VL: 0
Mistral Medium
Qwen3 VL
Normalized 0-100%
HLE
4.52%-
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 Medium 3.1Entry Level

Scores 40/100 (rank #322), placing it in the top -11% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 VL 32B InstructEntry Level

Scores 40/100 (rank #310), placing it in the top -7% 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 Medium 3.1 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Qwen3 VL 32B Instruct when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Medium 3.1
Input cost$0.40/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.060
Est. monthly (1M tokens/day)$36.00
Qwen3 VL 32B InstructBest Value
Input cost$0.10/M tokens
Output cost$0.42/M tokens
Cost per quality point$0.013
Est. monthly (1M tokens/day)$7.80

Qwen3 VL 32B Instruct offers 78% better value per quality point. At 1M tokens/day, you'd spend $7.80/month with Qwen3 VL 32B Instruct vs $36.00/month with Mistral Medium 3.1 - a $28.20 monthly difference.

Latency & Speed
Mistral Medium 3.1Faster
Speed score0/100
Qwen3 VL 32B Instruct
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 Medium 3.1

Customer support chatbot

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

Mistral Medium 3.1

Long document analysis

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

Mistral Medium 3.1

Batch data extraction

Lower output pricing ($0.42/M) reduces costs when processing thousands of records daily

Qwen3 VL 32B Instruct

Creative writing & content

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

Mistral Medium 3.1

Image understanding & OCR

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

Mistral Medium 3.1
Which Should You Choose?
Our recommendation:
Mistral Medium 3.1

Mistral Medium 3.1 and Qwen3 VL 32B Instruct 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 - 78% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Medium 3.1Qwen3 VL 32B Instruct
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Medium 3.1

Mistral AI

$3.12
estimated monthly cost

Qwen3 VL 32B Instruct

Alibaba

Best Value
$0.6864
estimated monthly cost

Qwen3 VL 32B Instruct saves you $2.43/month

That's 78% cheaper than Mistral Medium 3.1 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 Medium 3.1Qwen3 VL 32B Instruct
Context Window131K131K
Max Output Tokens--32,768
Open SourceNoYes
CreatedAug 13, 2025Oct 23, 2025
Last updated: 37m ago

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