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Mixtral 8x22B Instruct vs Qwen3.7 Max

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 Mixtral 8x22B Instruct and Qwen3.7 Max.

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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Alibaba

Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

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Technical Specifications

SpecificationMixtral 8x22B InstructQwen3.7 Max
ProviderMistralAlibaba
Context Window65,536 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-04-172026-05-21

API Pricing Comparison

Input Price per Million Tokens

Mixtral 8x22B Instruct

$2.00

Qwen3.7 Max

$1.25

Output Price per Million Tokens

Mixtral 8x22B Instruct

$6.00

Qwen3.7 Max

$3.75

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/Avs9150.0%
Mixtral 8x22B Instruct
Qwen3.7 Max
HumanEvalPython coding & logic synthesis
N/Avs9580.0%
Mixtral 8x22B Instruct
Qwen3.7 Max
MATHComplex mathematical problem solving
N/Avs8820.0%
Mixtral 8x22B Instruct
Qwen3.7 Max
GPQAGraduate-level expert reasoning
N/Avs6050.0%
Mixtral 8x22B Instruct
Qwen3.7 Max
HellaSwagCommonsense reasoning and inference
N/Avs9100.0%
Mixtral 8x22B Instruct
Qwen3.7 Max
MT-BenchMulti-turn conversation flow quality
N/Avs940.0%
Mixtral 8x22B Instruct
Qwen3.7 Max

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.

Qwen3.7 Max Quirks & Gotchas

No developer gotchas reported.