โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Codestral 2508 vs GLM 4.7 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 GLM 4.7 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)

View Full Specs
Zhipu AI

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View Full Specs

Technical Specifications

SpecificationCodestral 2508GLM 4.7 Flash
ProviderMistralZhipu AI
Context Window256,000 tokens202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012026-01-19

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Codestral 2508

$0.90

GLM 4.7 Flash

$0.40

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/Avs7720.0%
Codestral 2508
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
N/Avs7850.0%
Codestral 2508
GLM 4.7 Flash
MATHComplex mathematical problem solving
N/Avs4000.0%
Codestral 2508
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
N/Avs3100.0%
Codestral 2508
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
N/Avs8000.0%
Codestral 2508
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
N/Avs810.0%
Codestral 2508
GLM 4.7 Flash

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.