Skip to content

Ministral 3 3B 2512 vs Qwen3.6 27B

Ministral 3 3B 2512

Mistral AI

40#303
vs
Qwen3.6 27B

Alibaba

40#274
Signal-by-Signal Comparison
SignalMinistral 3 3B 2512DeltaQwen3.6 27B
Capabilities
67
-17
83
Pricing
100
+4
96
Context window size
81
-5
86
Recency
87
-13
100
Output Capacity
20
-70
90
Overall Result
1 wins
of 5
4 wins
Qwen3.6 27B wins 4 of 5 signals

Score History

Score History (25 data points)
Ministral 3 3B 2512Qwen3.6 27B
Ministral 3 3B 2512

40

current score

Leader

Tied

right now

Qwen3.6 27B

40

current score

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

Ministral 3 3B 2512

Mistral AI

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

Qwen3.6 27B

Alibaba

Per request$0.002400
Daily$8.00
Monthly$240.00
Annual$2880.00

Ministral 3 3B 2512 saves you $225.00/month

That's $2700.00/year compared to Qwen3.6 27B at your current usage level of 100K calls/month.

94% cheaper
Choose Ministral 3 3B 2512 for cost optimization

Ministral 3 3B 2512 pricing:
Input:$0.10/M tokens
Output:$0.10/M tokens
Qwen3.6 27B pricing:
Input:$0.60/M tokens
Output:$3.60/M tokens
Tie
Ministral 3 3B 2512

Mistral AI

40

Composite Score

Tie
Qwen3.6 27B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricMinistral 3 3B 2512Qwen3.6 27BWinner
Overall Score
40
40
--
Rank#303#274
Qwen3.6 27B
Quality Rank#303#274
Qwen3.6 27B
Adoption Rank#303#274
Qwen3.6 27B
Parameters3B27B--
Context Window131K262K
Qwen3.6 27B
Pricing$0.10/$0.10/M$0.60/$3.60/M--
Signal Scores
Capabilities
67
83
Qwen3.6 27B
Pricing
100
96
Ministral 3 3B 2512
Context window size
81
86
Qwen3.6 27B
Recency
87
100
Qwen3.6 27B
Output Capacity
20
90
Qwen3.6 27B
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.

Ministral 3 3B 2512Entry Level

Scores 40/100 (rank #303), placing it in the top -4% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.6 27BEntry Level

Scores 40/100 (rank #274), 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 Ministral 3 3B 2512 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.6 27B when you need:

  • Processing long documents or large codebases (262K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Ministral 3 3B 2512Best Value
Input cost$0.10/M tokens
Output cost$0.10/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$3.00
Qwen3.6 27B
Input cost$0.60/M tokens
Output cost$3.60/M tokens
Cost per quality point$0.105
Est. monthly (1M tokens/day)$63.00

Ministral 3 3B 2512 offers 95% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Ministral 3 3B 2512 vs $63.00/month with Qwen3.6 27B - a $60.00 monthly difference.

Latency & Speed
Ministral 3 3B 2512Faster
Speed score0/100
Qwen3.6 27B
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

Ministral 3 3B 2512

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ministral 3 3B 2512 also offers lower per-token costs for high-volume support

Ministral 3 3B 2512

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.6 27B

Batch data extraction

Lower output pricing ($0.10/M) reduces costs when processing thousands of records daily

Ministral 3 3B 2512

Creative writing & content

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

Ministral 3 3B 2512

Image understanding & OCR

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

Ministral 3 3B 2512
Which Should You Choose?
Our recommendation:
Ministral 3 3B 2512

Ministral 3 3B 2512 and Qwen3.6 27B 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 Cost - 95% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityMinistral 3 3B 2512Qwen3.6 27B
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)

Ministral 3 3B 2512

Mistral AI

Best Value
$0.3000
estimated monthly cost

Qwen3.6 27B

Alibaba

$5.40
estimated monthly cost

Ministral 3 3B 2512 saves you $5.10/month

That's 94% cheaper than Qwen3.6 27B 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
ParameterMinistral 3 3B 2512Qwen3.6 27B
Context Window131K262K
Max Output Tokens--262,144
Open SourceYesYes
CreatedDec 2, 2025Apr 27, 2026
Last updated: 34m ago

相关对比

Ministral 3 3B 2512 vs Qwen3.6 27B (2026) | LM Market Cap