Model comparison

GPT-5.1-Codex vs Qwen3-Next 80B-A3B Instruct

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.2 on the Noometry Index.

Last verified October 10, 2026. 0 shared benchmarks.

GPT-5.1-Codex OpenAI

38.2

Rank #178 Reported

Qwen3-Next 80B-A3B Instruct

Alibaba (Qwen)

42.5

Rank #100 Confirmed

Summary

The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 36.3 to 29.3.
Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
GPT-5.1-Codex accepts more context: 400K tokens versus 131K.
Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.1-Codex and Qwen3-Next 80B-A3B Instruct specifications
	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
Provider	OpenAI	Alibaba (Qwen)
Noometry Index	38.2	42.5
Released	2025-11-12	2025-09
Weights	Proprietary	Open
Context window	400K	131K
Max output	128K	33K
Input $ / M tokens	$1.25	$0.50
Output $ / M tokens	$10	$2
Results tracked	6	25

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Category by category

Coding Too close to call

GPT-5.1-Codex: 41.7 (#107), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

Coding benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
SWE-bench Verified (bash only)	66%	—
LMArena WebDev	1337	—
LMArena Coding	—	1441
ALE-Bench	1,245	—

Agentic & Tool Use Not comparable

GPT-5.1-Codex: 37.8 (#32), Qwen3-Next 80B-A3B Instruct: —

Agentic & Tool Use benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
Terminal-Bench	60.4%	—
METR Time Horizons	70.8%	—

Reasoning Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

Reasoning benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark	—	66.7%
LMArena Hard Prompts	—	1428

Math Qwen3-Next 80B-A3B Instruct leads

GPT-5.1-Codex: 29.3 (#218), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

Math benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
ProofBench	9%	—
Omni-MATH	—	46.7%
LMArena Math	—	1440

Knowledge Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

Knowledge benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
MMLU-Pro	—	78.6%
Vectara Hallucination Rate	—	9.3%
GPQA (HELM)	—	63%
LMArena Expert	—	1416

Multilingual Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

Multilingual benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
LMArena Non-English	—	1407
LMArena Chinese	—	1461
LMArena French	—	1415
LMArena German	—	1416
LMArena Japanese	—	1398
LMArena Korean	—	1366
LMArena Russian	—	1403
LMArena Spanish	—	1436

Instruction Following Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

Instruction Following benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
IFEval	—	81%
LMArena Instruction Following	—	1388

Long Context Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

Long Context benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
Fiction.LiveBench	—	55.6%
LMArena Longer Query	—	1403

Writing & Preference Not comparable

GPT-5.1-Codex: —, Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

Writing & Preference benchmarks
Benchmark	GPT-5.1-Codex	Qwen3-Next 80B-A3B Instruct
LMArena Text	—	1417
LMArena Creative Writing	—	1333
WildBench	—	80.7%
LMArena Multi-Turn	—	1415

Frequently asked questions

Is GPT-5.1-Codex better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.2 on the Noometry Index.

Which is cheaper, GPT-5.1-Codex or Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Is GPT-5.1-Codex or Qwen3-Next 80B-A3B Instruct better for coding?

They score almost the same on coding (41.7 vs 41.9); test both on your own repository before choosing.

Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 131K.

How many benchmarks do GPT-5.1-Codex and Qwen3-Next 80B-A3B Instruct share?

0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.