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GPT-4.1 vs Codestral 2508

GPT-4.1

OpenAI

68#127
vs
Codestral 2508

Mistral AI

40#267
Signal-by-Signal Comparison
SignalGPT-4.1DeltaCodestral 2508
Capabilities
83
+33
50
Benchmarks
70
+70
0
Pricing
92
-7
99
Context window size
96
+10
86
Recency
47
-20
67
Output Capacity
75
+55
20
Overall Result
4 wins
of 6
2 wins
GPT-4.1 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-4.1Codestral 2508
GPT-4.1

67.7

current score

Leader

GPT-4.1

right now

Codestral 2508

40

current score

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

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Codestral 2508

Mistral AI

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

Codestral 2508 saves you $525.00/month

That's $6300.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

88% cheaper
Choose Codestral 2508 for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Codestral 2508 pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Winner
GPT-4.1

OpenAI

68

Composite Score

Codestral 2508

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1Codestral 2508Winner
Overall Score
68
40
GPT-4.1
Rank#127#267
GPT-4.1
Quality Rank#127#267
GPT-4.1
Adoption Rank#127#267
GPT-4.1
Parameters------
Context Window1048K256K
GPT-4.1
Pricing$2.00/$8.00/M$0.30/$0.90/M--
Signal Scores
Capabilities
83
50
GPT-4.1
Benchmarks
70
--
GPT-4.1
Pricing
92
99
Codestral 2508
Context window size
96
86
GPT-4.1
Recency
47
67
Codestral 2508
Output Capacity
75
20
GPT-4.1
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 0Codestral 2508: 0
GPT-4.1
Codestral 2508
Normalized 0-100%
MMLU
89.2%-
MMLU-Pro
81.8%-
GPQA Diamond
56%-
MATH-500
78.5%-
HumanEval
91.5%-
SWE-bench Verified
54.6%-
IFEval
88.2%-
BBH
84%-
Arena Elo
1300-
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%-
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-4.1Competitive

Scores 68/100 (rank #127), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

GPT-4.1 has a 28-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-4.1 when you need:

  • Processing long documents or large codebases (1048K token context)
  • Multimodal workflows that require image understanding

Choose Codestral 2508 when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00
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 88% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with Codestral 2508 vs $150.00/month with GPT-4.1 - a $132.00 monthly difference.

Latency & Speed
GPT-4.1Faster
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-4.1

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-4.1

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

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 (68/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1

Image understanding & OCR

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

GPT-4.1
Which Should You Choose?
Our recommendation:
GPT-4.1

GPT-4.1 clearly outperforms Codestral 2508 with a significant 27.700000000000003-point lead. For most general use cases, GPT-4.1 is the stronger choice. However, Codestral 2508 may still excel in niche scenarios.

GPT-4.1
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 - 88% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1Codestral 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-4.1

OpenAI

$13.20
estimated monthly cost

Codestral 2508

Mistral AI

Best Value
$1.62
estimated monthly cost

Codestral 2508 saves you $11.58/month

That's 88% cheaper than GPT-4.1 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
ParameterGPT-4.1Codestral 2508
Context Window1.0M256K
Max Output Tokens32,768--
Open SourceNoNo
CreatedApr 14, 2025Aug 1, 2025
Last updated: 54m ago

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