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GLM 4.7 vs Mixtral 8x22B Instruct

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 GLM 4.7 and Mixtral 8x22B Instruct.

Zhipu AI

GLM 4.7

GLM-4.7 is Z.aiโ€™s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

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Mistral

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

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Technical Specifications

SpecificationGLM 4.7Mixtral 8x22B Instruct
ProviderZhipu AIMistral
Context Window202,752 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-222024-04-17

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

GLM 4.7

$1.75

Mixtral 8x22B Instruct

$6.00

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
8150.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Mixtral 8x22B Instruct

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.