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GPT-5.2 Chat vs Codestral 2508

GPT-5.2 Chat

OpenAI

91#25
vs
Codestral 2508

Mistral AI

40#324
Signal-by-Signal Comparison
SignalGPT-5.2 ChatDeltaCodestral 2508
Capabilities
83
+33
50
Benchmarks
77
+77
0
Pricing
86
-13
99
Context window size
81
-5
86
Recency
89
+24
65
Output Capacity
70
+50
20
Overall Result
4 wins
of 6
2 wins
GPT-5.2 Chat wins 4 of 6 signals

Score History

Score History (25 data points)
GPT-5.2 ChatCodestral 2508
GPT-5.2 Chat

90.5

current score

Leader

GPT-5.2 Chat

right now

Codestral 2508

40

current score

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

GPT-5.2 Chat

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Codestral 2508

Mistral AI

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

Codestral 2508 saves you $800.00/month

That's $9600.00/year compared to GPT-5.2 Chat at your current usage level of 100K calls/month.

91% cheaper
Choose Codestral 2508 for cost optimization

GPT-5.2 Chat pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
Codestral 2508 pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Winner
GPT-5.2 Chat

OpenAI

91

Composite Score

Codestral 2508

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2 ChatCodestral 2508Winner
Overall Score
91
40
GPT-5.2 Chat
Rank#25#324
GPT-5.2 Chat
Quality Rank#25#324
GPT-5.2 Chat
Adoption Rank#25#324
GPT-5.2 Chat
Parameters------
Context Window128K256K
Codestral 2508
Pricing$1.75/$14.00/M$0.30/$0.90/M--
Signal Scores
Capabilities
83
50
GPT-5.2 Chat
Benchmarks
77
--
GPT-5.2 Chat
Pricing
86
99
Codestral 2508
Context window size
81
86
Codestral 2508
Recency
89
65
GPT-5.2 Chat
Output Capacity
70
20
GPT-5.2 Chat
Benchmark Head-to-Head(1 benchmarks)
GPT-5.2 Chat: 0Codestral 2508: 0
GPT-5.2 Chat
Codestral 2508
Normalized 0-100%
Arena Elo
1476-
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.

GPT-5.2 ChatElite Tier

Scores 91/100 (rank #25), placing it in the top 92% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

GPT-5.2 Chat has a 51-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.2 Chat when you need:

  • Multimodal workflows that require image understanding

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)
Cost-Performance Analysis
GPT-5.2 Chat
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
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

Codestral 2508 offers 92% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with Codestral 2508 vs $236.25/month with GPT-5.2 Chat - a $218.25 monthly difference.

Latency & Speed
GPT-5.2 ChatFaster
Speed score0/100
Codestral 2508
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

GPT-5.2 Chat

Customer support chatbot

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

GPT-5.2 Chat

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 (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2 Chat

Image understanding & OCR

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

GPT-5.2 Chat
Which Should You Choose?
Our recommendation:
GPT-5.2 Chat

GPT-5.2 Chat clearly outperforms Codestral 2508 with a significant 50.5-point lead. For most general use cases, GPT-5.2 Chat is the stronger choice. However, Codestral 2508 may still excel in niche scenarios.

GPT-5.2 Chat
Recommended

by OpenAI

  • 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 Mistral AI

  • Choose for Cost - 92% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2 ChatCodestral 2508
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.2 Chat

OpenAI

$19.95
estimated monthly cost

Codestral 2508

Mistral AI

Best Value
$1.62
estimated monthly cost

Codestral 2508 saves you $18.33/month

That's 92% cheaper than GPT-5.2 Chat 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
ParameterGPT-5.2 ChatCodestral 2508
Context Window128K256K
Max Output Tokens16,384--
Open SourceNoNo
CreatedDec 10, 2025Aug 1, 2025
Last updated: 52m ago

相关对比

GPT-5.2 Chat vs Codestral 2508 (2026) | LM Market Cap