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Mistral Medium 3.1 vs Qwen3.7 Plus

Mistral Medium 3.1

Mistral AI

40#381
vs
Qwen3.7 Plus

Alibaba

40#309
Signal-by-Signal Comparison
SignalMistral Medium 3.1DeltaQwen3.7 Plus
Capabilities
67
-17
83
Pricing
98
-1
99
Context window size
81
-14
95
Recency
51
-49
100
Output Capacity
80
-1
82
Overall Result
0 wins
of 5
5 wins
Qwen3.7 Plus wins 5 of 5 signals

Score History

Score History (38 data points)
Mistral Medium 3.1Qwen3.7 Plus
Mistral Medium 3.1

40

current score

Leader

Tied

right now

Qwen3.7 Plus

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

Qwen3.7 Plus

Alibaba

Best Value
Per request$0.000960
Daily$3.20
Monthly$96.00
Annual$1152.00

Qwen3.7 Plus saves you $44.00/month

That's $528.00/year compared to Mistral Medium 3.1 at your current usage level of 100K calls/month.

31% cheaper
Choose Qwen3.7 Plus for cost optimization

Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Qwen3.7 Plus pricing:
Input:$0.32/M tokens
Output:$1.28/M tokens
Tie
Mistral Medium 3.1

Mistral AI

40

Composite Score

Tie
Qwen3.7 Plus

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricMistral Medium 3.1Qwen3.7 PlusWinner
Overall Score
40
40
--
Rank#381#309
Qwen3.7 Plus
Quality Rank#381#309
Qwen3.7 Plus
Adoption Rank#381#309
Qwen3.7 Plus
Parameters------
Context Window131K1000K
Qwen3.7 Plus
Pricing$0.40/$2.00/M$0.32/$1.28/M--
Signal Scores
Capabilities
67
83
Qwen3.7 Plus
Pricing
98
99
Qwen3.7 Plus
Context window size
81
95
Qwen3.7 Plus
Recency
51
100
Qwen3.7 Plus
Output Capacity
80
82
Qwen3.7 Plus
Benchmark Head-to-Head(1 benchmarks)
Mistral Medium: 0Qwen3.7 Plus: 0
Mistral Medium
Qwen3.7 Plus
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 #381), placing it in the top -31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.7 PlusEntry Level

Scores 40/100 (rank #309), placing it in the top -6% 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 Qwen3.7 Plus when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
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
Qwen3.7 PlusBest Value
Input cost$0.32/M tokens
Output cost$1.28/M tokens
Cost per quality point$0.040
Est. monthly (1M tokens/day)$24.00

Qwen3.7 Plus offers 33% better value per quality point. At 1M tokens/day, you'd spend $24.00/month with Qwen3.7 Plus vs $36.00/month with Mistral Medium 3.1 - a $12.00 monthly difference.

Latency & Speed
Mistral Medium 3.1Faster
Speed score0/100
Qwen3.7 Plus
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. Qwen3.7 Plus also offers lower per-token costs for high-volume support

Mistral Medium 3.1

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.7 Plus

Batch data extraction

Lower output pricing ($1.28/M) reduces costs when processing thousands of records daily

Qwen3.7 Plus

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 Qwen3.7 Plus 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 - 33% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Medium 3.1Qwen3.7 Plus
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
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

Qwen3.7 Plus

Alibaba

Best Value
$2.11
estimated monthly cost

Qwen3.7 Plus saves you $1.01/month

That's 32% 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 3.1Qwen3.7 Plus
Context Window131K1M
Max Output Tokens104,857131,072
Open SourceNoNo
CreatedAug 13, 2025Jun 3, 2026
Last updated: 35m ago

相关对比

Mistral Medium 3.1 vs Qwen3.7 Plus (2026) | LM Market Cap