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Codestral 2508 vs Kimi K2 0905

Codestral 2508

Mistral AI

40#267
vs
Kimi K2 0905

Moonshot AI

52#170
Signal-by-Signal Comparison
SignalCodestral 2508DeltaKimi K2 0905
Capabilities
50
--
50
Pricing
99
+2
98
Context window size
86
0
86
Recency
67
-6
73
Output Capacity
20
-63
83
Benchmarks
0
-51
51
Overall Result
1 wins
of 6
4 wins
Kimi K2 0905 wins 4 of 6 signals

Score History

Score History (24 data points)
Codestral 2508Kimi K2 0905
Codestral 2508

40

current score

Leader

Kimi K2 0905

right now

Kimi K2 0905

52.4

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

Kimi K2 0905

Moonshot AI

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

Codestral 2508 saves you $110.00/month

That's $1320.00/year compared to Kimi K2 0905 at your current usage level of 100K calls/month.

59% cheaper
Choose Codestral 2508 for cost optimization

Codestral 2508 pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Kimi K2 0905 pricing:
Input:$0.60/M tokens
Output:$2.50/M tokens
Codestral 2508

Mistral AI

40

Composite Score

Winner
Kimi K2 0905

Moonshot AI

52

Composite Score

Signal-by-Signal Comparison
MetricCodestral 2508Kimi K2 0905Winner
Overall Score
40
52
Kimi K2 0905
Rank#267#170
Kimi K2 0905
Quality Rank#267#170
Kimi K2 0905
Adoption Rank#267#170
Kimi K2 0905
Parameters------
Context Window256K262K
Kimi K2 0905
Pricing$0.30/$0.90/M$0.60/$2.50/M--
Signal Scores
Capabilities
50
50
Codestral 2508
Pricing
99
98
Codestral 2508
Context window size
86
86
Kimi K2 0905
Recency
67
73
Kimi K2 0905
Output Capacity
20
83
Kimi K2 0905
Benchmarks--
51
Kimi K2 0905
Benchmark Head-to-Head(1 benchmarks)
Codestral 2508: 0Kimi K2: 0
Codestral 2508
Kimi K2
Normalized 0-100%
SWE-bench Verified
-63.4%
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 #267), placing it in the top 8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Kimi K2 0905Competitive

Scores 52/100 (rank #170), placing it in the top 42% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Kimi K2 0905 has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Codestral 2508 when you need:

  • High-volume production workloads where API costs must be minimized

Choose Kimi K2 0905 when you need:

  • Self-hosted deployments where you need full control over the model
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
Kimi K2 0905
Input cost$0.60/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.059
Est. monthly (1M tokens/day)$46.50

Codestral 2508 offers 61% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with Codestral 2508 vs $46.50/month with Kimi K2 0905 - a $28.50 monthly difference.

Latency & Speed
Codestral 2508Faster
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

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

Kimi K2 0905

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 (52/100) correlates with better nuance, coherence, and style in long-form content

Kimi K2 0905
Which Should You Choose?
Our recommendation:
Kimi K2 0905

Kimi K2 0905 clearly outperforms Codestral 2508 with a significant 12.399999999999999-point lead. For most general use cases, Kimi K2 0905 is the stronger choice. However, Codestral 2508 may still excel in niche scenarios.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 61% 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
Kimi K2 0905
Recommended

by Moonshot AI

Consider for specialized use cases.

Capability Comparison
CapabilityCodestral 2508Kimi K2 0905
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)

Codestral 2508

Mistral AI

Best Value
$1.62
estimated monthly cost

Kimi K2 0905

Moonshot AI

$4.08
estimated monthly cost

Codestral 2508 saves you $2.46/month

That's 60% 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
ParameterCodestral 2508Kimi K2 0905
Context Window256K262K
Max Output Tokens--100,352
Open SourceNoYes
CreatedAug 1, 2025Sep 4, 2025
Last updated: 59m ago

相关对比

Codestral 2508 vs Kimi K2 0905 (2026) | LM Market Cap