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Codestral 2508 vs Mistral Medium 3.1

Codestral 2508

Mistral AI

40#324
vs
Mistral Medium 3.1

Mistral AI

40#322
Signal-by-Signal Comparison
SignalCodestral 2508DeltaMistral Medium 3.1
Capabilities
50
-17
67
Pricing
99
+1
98
Context window size
86
+5
81
Recency
65
-2
67
Output Capacity
20
--
20
Overall Result
2 wins
of 5
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (25 data points)
Codestral 2508Mistral Medium 3.1
Codestral 2508

40

current score

Leader

Tied

right now

Mistral Medium 3.1

40

current score

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

Codestral 2508

Mistral AI

Best Value
Per request$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

Mistral Medium 3.1

Mistral AI

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

Codestral 2508 saves you $65.00/month

That's $780.00/year compared to Mistral Medium 3.1 at your current usage level of 100K calls/month.

46% cheaper
Choose Codestral 2508 for cost optimization

Codestral 2508 pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Tie
Codestral 2508

Mistral AI

40

Composite Score

Tie
Mistral Medium 3.1

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricCodestral 2508Mistral Medium 3.1Winner
Overall Score
40
40
--
Rank#324#322
Mistral Medium 3.1
Quality Rank#324#322
Mistral Medium 3.1
Adoption Rank#324#322
Mistral Medium 3.1
Parameters------
Context Window256K131K
Codestral 2508
Pricing$0.30/$0.90/M$0.40/$2.00/M--
Signal Scores
Capabilities
50
67
Mistral Medium 3.1
Pricing
99
98
Codestral 2508
Context window size
86
81
Codestral 2508
Recency
65
67
Mistral Medium 3.1
Output Capacity
20
20
Codestral 2508
Benchmark Head-to-Head(1 benchmarks)
Codestral 2508: 0Mistral Medium: 0
Codestral 2508
Mistral Medium
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.

Codestral 2508Entry Level

Scores 40/100 (rank #324), placing it in the top -11% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

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 Codestral 2508 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (256K token context)

Choose Mistral Medium 3.1 when you need:

  • Multimodal workflows that require image understanding
Cost-Performance Analysis
Codestral 2508Best Value
Input cost$0.30/M tokens
Output cost$0.90/M tokens
Cost per quality point$0.030
Est. monthly (1M tokens/day)$18.00
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

Codestral 2508 offers 50% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with Codestral 2508 vs $36.00/month with Mistral Medium 3.1 - a $18.00 monthly difference.

Latency & Speed
Codestral 2508Faster
Speed score0/100
Mistral Medium 3.1
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

Codestral 2508

Customer support chatbot

Suitable for user-facing chat with competitive response times. Codestral 2508 also offers lower per-token costs for high-volume support

Codestral 2508

Long document analysis

Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass

Codestral 2508

Batch data extraction

Lower output pricing ($0.90/M) reduces costs when processing thousands of records daily

Codestral 2508

Creative writing & content

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

Codestral 2508

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:
Codestral 2508

Codestral 2508 and Mistral Medium 3.1 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.

Codestral 2508
Recommended

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 50% 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 Mistral AI

Consider for specialized use cases.

Capability Comparison
CapabilityCodestral 2508Mistral Medium 3.1
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)

Codestral 2508

Mistral AI

Best Value
$1.62
estimated monthly cost

Mistral Medium 3.1

Mistral AI

$3.12
estimated monthly cost

Codestral 2508 saves you $1.50/month

That's 48% 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
ParameterCodestral 2508Mistral Medium 3.1
Context Window256K131K
Max Output Tokens----
Open SourceNoNo
CreatedAug 1, 2025Aug 13, 2025
Last updated: 35m ago

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Codestral 2508 vs Mistral Medium 3.1 (2026) | LM Market Cap