Model comparison

MiniMax-M2.7 vs Qwen3-Next 80B-A3B Instruct

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 1.7× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

Last verified October 10, 2026. 18 shared benchmarks.

MiniMax-M2.7

MiniMax

37.7

Rank #196 Confirmed

Qwen3-Next 80B-A3B Instruct

Alibaba (Qwen)

43.0

Rank #102 Confirmed

Summary

They share 18 benchmarks with published results for both. MiniMax-M2.7 scores higher in 3 categories and Qwen3-Next 80B-A3B Instruct in 5 categories; 6 gaps are clear of the uncertainty.
The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 38.8 to 25.9.
MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
MiniMax-M2.7 accepts more context: 205K tokens versus 131K.

Side by side

MiniMax-M2.7 and Qwen3-Next 80B-A3B Instruct specifications
	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
Provider	MiniMax	Alibaba (Qwen)
Noometry Index	37.7	43.0
Released	2026-03-18	2025-09
Weights	Open	Open
Context window	205K	131K
Max output	131K	33K
Input $ / M tokens	$0.30	$0.50
Output $ / M tokens	$1.20	$2
Results tracked	30	25

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Category by category

Coding Too close to call

MiniMax-M2.7: 41.8 (#120), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

Coding benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Coding	1454	1440
LMArena WebDev	1398	—
SciCode	47%	—
WeirdML	37%	—
ALE-Bench	599.25	—

Agentic & Tool Use Not comparable

MiniMax-M2.7: 25.1 (#111), Qwen3-Next 80B-A3B Instruct: —

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
Terminal-Bench	45.1%	—
ExploitBench	13.3%	—
GBAEval	0%	—

Reasoning Qwen3-Next 80B-A3B Instruct leads

MiniMax-M2.7: 19.7 (#253), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

Reasoning benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Hard Prompts	1422	1428
Kagi LLM Benchmark	—	66.7%
NYT Connections (extended)	24.7%	—
CritPt	0.6%	—
Thematic Generalization	39.3%	—
Epoch Capabilities Index	145.85	—

Math Qwen3-Next 80B-A3B Instruct leads

MiniMax-M2.7: 25.9 (#263), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

Math benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Math	1420	1440
ProofBench	3%	—
Omni-MATH	—	46.7%

Knowledge Qwen3-Next 80B-A3B Instruct leads

MiniMax-M2.7: 37.7 (#152), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

Knowledge benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
Vectara Hallucination Rate	12.9%	9.3%
LMArena Expert	1444	1417
MMLU-Pro	—	78.6%
GPQA (HELM)	—	63%

Multilingual Qwen3-Next 80B-A3B Instruct leads

MiniMax-M2.7: 50.3 (#123), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

Multilingual benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Non-English	1382	1407
LMArena Chinese	1441	1460
LMArena French	1421	1413
LMArena German	1398	1417
LMArena Japanese	1262	1395
LMArena Korean	1313	1364
LMArena Russian	1383	1404
LMArena Spanish	1403	1435

Instruction Following MiniMax-M2.7 leads

MiniMax-M2.7: 74.1 (#103), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

Instruction Following benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Instruction Following	1405	1389
IFEval	—	81%

Long Context MiniMax-M2.7 leads

MiniMax-M2.7: 43.3 (#99), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

Long Context benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Longer Query	1419	1403
Fiction.LiveBench	—	55.6%

Writing & Preference Too close to call

MiniMax-M2.7: 58.9 (#112), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

Writing & Preference benchmarks
Benchmark	MiniMax-M2.7	Qwen3-Next 80B-A3B Instruct
LMArena Text	1405	1417
LMArena Creative Writing	1354	1334
LMArena Multi-Turn	1412	1416
WildBench	—	80.7%

Frequently asked questions

Is MiniMax-M2.7 better than Qwen3-Next 80B-A3B Instruct?

Which is cheaper, MiniMax-M2.7 or Qwen3-Next 80B-A3B Instruct?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.

Is MiniMax-M2.7 or Qwen3-Next 80B-A3B Instruct better for coding?

They score almost the same on coding (41.8 vs 42.5); test both on your own repository before choosing.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 131K.

How many benchmarks do MiniMax-M2.7 and Qwen3-Next 80B-A3B Instruct share?

18 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.