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

MiniMax-01 vs Qwen2.5 7B 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 MiniMax-01 and Qwen2.5 7B Instruct.

MiniMax

MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

View Full Specs
Alibaba

Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

View Full Specs

Technical Specifications

SpecificationMiniMax-01Qwen2.5 7B Instruct
ProviderMiniMaxAlibaba
Context Window1,000,192 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-01-152024-10-16

API Pricing Comparison

Input Price per Million Tokens

MiniMax-01

$0.20

Qwen2.5 7B Instruct

$0.04

Output Price per Million Tokens

MiniMax-01

$1.10

Qwen2.5 7B Instruct

$0.10

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
8100.0%vs7580.0%
MiniMax-01
Qwen2.5 7B Instruct
HumanEvalPython coding & logic synthesis
7820.0%vs7800.0%
MiniMax-01
Qwen2.5 7B Instruct
MATHComplex mathematical problem solving
5050.0%vs4250.0%
MiniMax-01
Qwen2.5 7B Instruct
GPQAGraduate-level expert reasoning
3700.0%vs3200.0%
MiniMax-01
Qwen2.5 7B Instruct
HellaSwagCommonsense reasoning and inference
8300.0%vs7950.0%
MiniMax-01
Qwen2.5 7B Instruct
MT-BenchMulti-turn conversation flow quality
855.0%vs820.0%
MiniMax-01
Qwen2.5 7B Instruct

MiniMax-01 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 7B Instruct Quirks & Gotchas

No developer gotchas reported.