Model comparison

GPT-6.1 Sol vs Qwen3 14B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 35.5 on the Noometry Index. Qwen3 14B costs 6.5× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified October 12, 2026. 6 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Qwen3 14B

Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

They share 6 benchmarks with published results for both. GPT-6.1 Sol scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 18.5.
The biggest single-benchmark swing is Chess Puzzles: 61% for GPT-6.1 Sol and 4% for Qwen3 14B.
Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 131K.
Qwen3 14B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Qwen3 14B specifications
	GPT-6.1 Sol	Qwen3 14B
Provider	OpenAI	Alibaba (Qwen)
Noometry Index	65.6	35.5
Released	2026-09-29	2025-04
Weights	Proprietary	Open
Context window	1.05M	131K
Max output	128K	8K
Input $ / M tokens	$2	$0.35
Output $ / M tokens	$10	$1.40
Results tracked	34	12

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Qwen3 14B: 37.3 (#195)

Coding benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
SciCode	55.8%	31.6%
DeepSWE	75.2%	—
FrontierCode	50.2%	—
LMArena WebDev	1755	—
LMArena Coding	1487	—

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
APEX-Agents	60%	—
Berkeley Function Calling Leaderboard	—	41%
GDP.pdf	32%	—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
CritPt	31.7%	0%
Chess Puzzles	61%	4%
Epoch Capabilities Index	166.09	138.23
ARC-AGI-2	94.2%	—
Kagi LLM Benchmark	—	49.1%
NYT Connections (extended)	95.5%	—
ARC-AGI-1	98.5%	—
EBR-Bench	54.3%	—
LMArena Hard Prompts	1466	—
Mystery Game Puzzles	80%	—
DTBench	—	64%
LMCA	—	18.2%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Qwen3 14B: 38.6 (#133)

Math benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
OTIS Mock AIME 2024-2025	100%	66.4%
FrontierMath (Tiers 1-3)	93.7%	—
FrontierMath Tier 4	100%	—
ProofBench	99%	—
LMArena Math	1464	—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
GPQA Diamond	95.4%	63.8%
SimpleQA Verified	73.9%	—
Vectara Hallucination Rate	—	5.4%
LMArena Expert	1502	—

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Qwen3 14B: —

Multimodal benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
LMArena Vision	1288	—
Furniture Assembly	80%	—

Multilingual Not comparable

GPT-6.1 Sol: 54.3 (#46), Qwen3 14B: —

Multilingual benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
LMArena Non-English	1438	—
LMArena Chinese	1477	—
LMArena Russian	1455	—

Instruction Following Not comparable

GPT-6.1 Sol: 77.0 (#29), Qwen3 14B: —

Instruction Following benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
LMArena Instruction Following	1468	—

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
Fiction.LiveBench	—	62.5%
LMArena Longer Query	1465	—

Writing & Preference Not comparable

GPT-6.1 Sol: 63.6 (#63), Qwen3 14B: —

Writing & Preference benchmarks
Benchmark	GPT-6.1 Sol	Qwen3 14B
LMArena Text	1447	—
LMArena Creative Writing	1432	—
LMArena Multi-Turn	1449	—

Frequently asked questions

Is GPT-6.1 Sol better than Qwen3 14B?

Which is cheaper, GPT-6.1 Sol or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Qwen3 14B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 37.3 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 131K.

How many benchmarks do GPT-6.1 Sol and Qwen3 14B share?

6 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen3 14B has 12.