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Codestral 2508 vs Step 3.7 Flash

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Codestral 2508 and Step 3.7 Flash.

Mistral

Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

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StepFun

Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

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Technical Specifications

SpecificationCodestral 2508Step 3.7 Flash
ProviderMistralStepFun
Context Window256,000 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012026-05-28

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

Step 3.7 Flash

$0.20

Output Price per Million Tokens

Codestral 2508

$0.90

Step 3.7 Flash

$1.15

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8450.0%
Codestral 2508
Step 3.7 Flash
HumanEvalPython coding & logic synthesis
N/Avs8600.0%
Codestral 2508
Step 3.7 Flash
MATHComplex mathematical problem solving
N/Avs6680.0%
Codestral 2508
Step 3.7 Flash
GPQAGraduate-level expert reasoning
N/Avs4400.0%
Codestral 2508
Step 3.7 Flash
HellaSwagCommonsense reasoning and inference
N/Avs8580.0%
Codestral 2508
Step 3.7 Flash
MT-BenchMulti-turn conversation flow quality
N/Avs890.0%
Codestral 2508
Step 3.7 Flash

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.

Step 3.7 Flash Quirks & Gotchas

No developer gotchas reported.