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Codestral 2508 vs Qwen3 30B A3B Instruct 2507

Codestral 2508

Mistral AI

40#379
vs
Signal-by-Signal Comparison
SignalCodestral 2508DeltaQwen3 30B A3B Instruct 2507
Capabilities
50
--
50
Pricing
99
-1
100
Context window size
86
0
86
Recency
49
+1
48
Output Capacity
85
-1
86
Overall Result
1 wins
of 5
3 wins
Qwen3 30B A3B Instruct 2507 wins 3 of 5 signals

Score History

Score History (38 data points)
Codestral 2508Qwen3 30B A3B Instruct 2507
Codestral 2508

40

current score

Leader

Tied

right now

Qwen3 30B A3B Instruct 2507

40

current score

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

Codestral 2508

Mistral AI

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

Qwen3 30B A3B Instruct 2507

Alibaba

Best Value
Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Qwen3 30B A3B Instruct 2507 saves you $50.00/month

That's $600.00/year compared to Codestral 2508 at your current usage level of 100K calls/month.

67% cheaper
Choose Qwen3 30B A3B Instruct 2507 for cost optimization

Codestral 2508 pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Qwen3 30B A3B Instruct 2507 pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Tie
Codestral 2508

Mistral AI

40

Composite Score

Tie
Qwen3 30B A3B Instruct 2507

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricCodestral 2508Qwen3 30B A3B Instruct 2507Winner
Overall Score
40
40
--
Rank#379#381
Codestral 2508
Quality Rank#379#381
Codestral 2508
Adoption Rank#379#381
Codestral 2508
Parameters--30B--
Context Window256K262K
Qwen3 30B A3B Instruct 2507
Pricing$0.30/$0.90/M$0.10/$0.30/M--
Signal Scores
Capabilities
50
50
Codestral 2508
Pricing
99
100
Qwen3 30B A3B Instruct 2507
Context window size
86
86
Qwen3 30B A3B Instruct 2507
Recency
49
48
Codestral 2508
Output Capacity
85
86
Qwen3 30B A3B Instruct 2507
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 #379), placing it in the top -30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 30B A3B Instruct 2507Entry 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

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:

  • Budget-friendly applications with moderate quality requirements

Choose Qwen3 30B A3B Instruct 2507 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Codestral 2508
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
Qwen3 30B A3B Instruct 2507Best Value
Input cost$0.10/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.010
Est. monthly (1M tokens/day)$6.00

Qwen3 30B A3B Instruct 2507 offers 67% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Qwen3 30B A3B Instruct 2507 vs $18.00/month with Codestral 2508 - a $12.00 monthly difference.

Latency & Speed
Codestral 2508Faster
Speed score0/100
Qwen3 30B A3B Instruct 2507
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. Qwen3 30B A3B Instruct 2507 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

Qwen3 30B A3B Instruct 2507

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

Qwen3 30B A3B Instruct 2507

Creative writing & content

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

Codestral 2508
Which Should You Choose?
Our recommendation:
Codestral 2508

Codestral 2508 and Qwen3 30B A3B Instruct 2507 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 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 - 67% lower pricing; better value at scale
Capability Comparison
CapabilityCodestral 2508Qwen3 30B A3B Instruct 2507
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

$1.62
estimated monthly cost

Qwen3 30B A3B Instruct 2507

Alibaba

Best Value
$0.5400
estimated monthly cost

Qwen3 30B A3B Instruct 2507 saves you $1.08/month

That's 67% cheaper than Codestral 2508 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 2508Qwen3 30B A3B Instruct 2507
Context Window256K262K
Max Output Tokens204,800235,929
Open SourceNoYes
CreatedAug 1, 2025Jul 29, 2025
Last updated: 5m ago

相关对比

Codestral 2508 vs Qwen3 30B A3B Instruct 2507 (2026) | LM Market Cap