Model comparison

GPT-5.5 Pro vs Qwen3.8 27B

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 45.3 on the Noometry Index. Qwen3.8 27B costs 61× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 4 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #7 Confirmed

Qwen3.8 27B

Alibaba (Qwen)

45.3

Rank #64 Confirmed

Summary

They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen3.8 27B in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 35.7.
The biggest single-benchmark swing is CritPt: 30.6% for GPT-5.5 Pro and 5.4% for Qwen3.8 27B.
Qwen3.8 27B is cheaper at $0.99 / $1.49 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
Qwen3.8 27B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Pro and Qwen3.8 27B specifications
	GPT-5.5 Pro	Qwen3.8 27B
Provider	OpenAI	Alibaba (Qwen)
Noometry Index	64.3	45.3
Released	2026-04-23	2026-08-14
Weights	Proprietary	Open
Context window	1.05M	262K
Max output	128K	33K
Input $ / M tokens	$30	$0.99
Output $ / M tokens	$180	$1.49
Results tracked	14	28

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

Category by category

Coding Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 50.3 (#42)

Coding benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena WebDev	—	1592
SciCode	—	46.6%
LMArena Coding	—	1487

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.6 (#7), Qwen3.8 27B: 31.5 (#71)

Reasoning benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
CritPt	30.6%	5.4%
DTBench	96%	88%
LMCA	53.9%	41.4%
Epoch Capabilities Index	162.45	149.38
ARC-AGI-2	84.6%	—
SimpleBench	76.9%	—
NYT Connections (extended)	—	54.5%
ARC-AGI-1	96.5%	—
Chess Puzzles	64%	—
LMArena Hard Prompts	—	1459
Surface Evolver Bench	—	45%

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 83.8 (#8), Qwen3.8 27B: 35.7 (#139)

Math benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
FrontierMath (Tiers 1-3)	87.7%	—
FrontierMath Tier 4	78%	—
OTIS Mock AIME 2024-2025	100%	—
ProofBench	—	16%
LMArena Math	—	1453
FrontierMath (Feb 2025 set)	52.4%	—
FrontierMath Tier 4 (v1)	39.6%	—

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.2 (#17), Qwen3.8 27B: 40.9 (#105)

Knowledge benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
GPQA Diamond	93.9%	—
LMArena Expert	—	1482

Multimodal Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 40.5 (#36)

Multimodal benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena Vision	—	1270

Multilingual Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 54.0 (#54)

Multilingual benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena Non-English	—	1431
LMArena Chinese	—	1504
LMArena French	—	1468
LMArena German	—	1435
LMArena Japanese	—	1392
LMArena Korean	—	1389
LMArena Russian	—	1421
LMArena Spanish	—	1444

Instruction Following Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 75.8 (#54)

Instruction Following benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena Instruction Following	—	1436

Long Context Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 44.3 (#66)

Long Context benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena Longer Query	—	1448

Writing & Preference Not comparable

GPT-5.5 Pro: —, Qwen3.8 27B: 65.9 (#41)

Writing & Preference benchmarks
Benchmark	GPT-5.5 Pro	Qwen3.8 27B
LMArena Text	—	1441
LMArena Creative Writing	—	1382
EQ-Bench Creative Writing	—	1671
LMArena Multi-Turn	—	1443

Frequently asked questions

Is GPT-5.5 Pro better than Qwen3.8 27B?

Which is cheaper, GPT-5.5 Pro or Qwen3.8 27B?

Qwen3.8 27B is cheaper. It lists at $0.99 per million input tokens and $1.49 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 262K.

How many benchmarks do GPT-5.5 Pro and Qwen3.8 27B share?

4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen3.8 27B has 28.