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Mistral Medium 3.1 vs Kimi K2 0905

Mistral Medium 3.1

Mistral AI

40#361
vs
Kimi K2 0905

Moonshot AI

40#359
Signal-by-Signal Comparison
SignalMistral Medium 3.1DeltaKimi K2 0905
Capabilities
67
+17
50
Pricing
98
+1
98
Context window size
81
-5
86
Recency
61
-4
65
Output Capacity
80
+0
80
Overall Result
3 wins
of 5
2 wins
Mistral Medium 3.1 wins 3 of 5 signals

Score History

Score History (30 data points)
Mistral Medium 3.1Kimi K2 0905
Mistral Medium 3.1

40

current score

Leader

Tied

right now

Kimi K2 0905

40

current score

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

Mistral Medium 3.1

Mistral AI

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

Kimi K2 0905

Moonshot AI

Per request$0.001850
Daily$6.17
Monthly$185.00
Annual$2220.00

Mistral Medium 3.1 saves you $45.00/month

That's $540.00/year compared to Kimi K2 0905 at your current usage level of 100K calls/month.

24% cheaper
Choose Mistral Medium 3.1 for cost optimization

Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Kimi K2 0905 pricing:
Input:$0.60/M tokens
Output:$2.50/M tokens
Tie
Mistral Medium 3.1

Mistral AI

40

Composite Score

Tie
Kimi K2 0905

Moonshot AI

40

Composite Score

Signal-by-Signal Comparison
MetricMistral Medium 3.1Kimi K2 0905Winner
Overall Score
40
40
--
Rank#361#359
Kimi K2 0905
Quality Rank#361#359
Kimi K2 0905
Adoption Rank#361#359
Kimi K2 0905
Parameters------
Context Window131K262K
Kimi K2 0905
Pricing$0.40/$2.00/M$0.60/$2.50/M--
Signal Scores
Capabilities
67
50
Mistral Medium 3.1
Pricing
98
98
Mistral Medium 3.1
Context window size
81
86
Kimi K2 0905
Recency
61
65
Kimi K2 0905
Output Capacity
80
80
Mistral Medium 3.1
Benchmark Head-to-Head(1 benchmarks)
Mistral Medium: 0Kimi K2: 0
Mistral Medium
Kimi K2
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 #361), placing it in the top -24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2 0905Entry Level

Scores 40/100 (rank #359), placing it in the top -23% 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:

  • Multimodal workflows that require image understanding

Choose Kimi K2 0905 when you need:

  • Processing long documents or large codebases (262K token context)
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Medium 3.1Best Value
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
Kimi K2 0905
Input cost$0.60/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.077
Est. monthly (1M tokens/day)$46.50

Mistral Medium 3.1 offers 23% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $46.50/month with Kimi K2 0905 - a $10.50 monthly difference.

Latency & Speed
Mistral Medium 3.1Faster
Speed score0/100
Kimi K2 0905
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. Mistral Medium 3.1 also offers lower per-token costs for high-volume support

Mistral Medium 3.1

Long document analysis

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

Kimi K2 0905

Batch data extraction

Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily

Mistral Medium 3.1

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 Kimi K2 0905 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 - 23% 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 Moonshot AI

Consider for specialized use cases.

Capability Comparison
CapabilityMistral Medium 3.1Kimi K2 0905
Vision (Image Input)differs
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

Best Value
$3.12
estimated monthly cost

Kimi K2 0905

Moonshot AI

$4.08
estimated monthly cost

Mistral Medium 3.1 saves you $0.9600/month

That's 24% cheaper than Kimi K2 0905 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 3.1Kimi K2 0905
Context Window131K262K
Max Output Tokens104,857100,352
Open SourceNoYes
CreatedAug 13, 2025Sep 4, 2025
Last updated: 45m ago

相关对比

Mistral Medium 3.1 vs Kimi K2 0905 (2026) | LM Market Cap