Model comparison

MiniMax M1 vs Qwen2.5 7B Instruct

MiniMax M1 is the stronger model overall, scoring 39.7 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 2.8× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

MiniMax M1

MiniMax

39.7

Rank #146 Confirmed

Qwen2.5 7B Instruct

Alibaba (Qwen)

28.6

Rank #314 Confirmed

Summary

The widest gap is in math, where MiniMax M1 leads 34.8 to 11.8.
Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.40 / $2.20 for MiniMax M1.
MiniMax M1 accepts more context: 1M tokens versus 131K.

Side by side

MiniMax M1 and Qwen2.5 7B Instruct specifications
	MiniMax M1	Qwen2.5 7B Instruct
Provider	MiniMax	Alibaba (Qwen)
Noometry Index	39.7	28.6
Released	2025-06-13	2024-09
Weights	Open	Open
Context window	1M	131K
Max output	40K	8K
Input $ / M tokens	$0.40	$0.17
Output $ / M tokens	$2.20	$0.70
Results tracked	18	15

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Category by category

Coding MiniMax M1 leads

MiniMax M1: 39.2 (#149), Qwen2.5 7B Instruct: 35.9 (#204)

Coding benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
BigCodeBench Instruct	—	37.6%
LMArena Coding	1359	—
BigCodeBench Complete	—	46.1%

Agentic & Tool Use Not comparable

MiniMax M1: —, Qwen2.5 7B Instruct: 23.5 (#117)

Agentic & Tool Use benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
BALROG	—	7.8%

Reasoning MiniMax M1 leads

MiniMax M1: 25.8 (#125), Qwen2.5 7B Instruct: 14.3 (#317)

Reasoning benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
Chess Puzzles	—	0%
LMArena Hard Prompts	1340	—
DTBench	—	47.7%
LMCA	—	6.4%
Epoch Capabilities Index	—	118.44

Math MiniMax M1 leads

MiniMax M1: 34.8 (#152), Qwen2.5 7B Instruct: 11.8 (#300)

Math benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
OTIS Mock AIME 2024-2025	—	2.5%
Omni-MATH	—	29.4%
LMArena Math	1360	—

Knowledge MiniMax M1 leads

MiniMax M1: 35.7 (#168), Qwen2.5 7B Instruct: 17.0 (#281)

Knowledge benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
GPQA Diamond	—	35.5%
MMLU-Pro	—	53.9%
GPQA (HELM)	—	34.1%
LMArena Expert	1316	—
MMLU	—	72.9%

Multilingual Not comparable

MiniMax M1: 46.0 (#157), Qwen2.5 7B Instruct: —

Multilingual benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
LMArena Non-English	1320	—
LMArena Chinese	1361	—
LMArena French	1369	—
LMArena German	1350	—
LMArena Japanese	1220	—
LMArena Korean	1263	—
LMArena Russian	1330	—
LMArena Spanish	1354	—

Instruction Following MiniMax M1 leads

MiniMax M1: 69.5 (#169), Qwen2.5 7B Instruct: 63.4 (#226)

Instruction Following benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
IFEval	—	74.1%
LMArena Instruction Following	1312	—

Long Context Not comparable

MiniMax M1: 41.4 (#136), Qwen2.5 7B Instruct: —

Long Context benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
Fiction.LiveBench	69.4%	—
LMArena Longer Query	1326	—

Writing & Preference MiniMax M1 leads

MiniMax M1: 53.3 (#155), Qwen2.5 7B Instruct: 48.8 (#194)

Writing & Preference benchmarks
Benchmark	MiniMax M1	Qwen2.5 7B Instruct
LMArena Text	1343	—
LMArena Creative Writing	1298	—
WildBench	—	73.1%
LMArena Multi-Turn	1335	—

Frequently asked questions

Is MiniMax M1 better than Qwen2.5 7B Instruct?

Which is cheaper, MiniMax M1 or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; MiniMax M1 lists at $0.40 and $2.20.

Is MiniMax M1 or Qwen2.5 7B Instruct better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.2 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 131K.

How many benchmarks do MiniMax M1 and Qwen2.5 7B Instruct share?

0 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Qwen2.5 7B Instruct has 15.