Noometry

Model comparison

GPT-5.5 Instant vs Qwen2.5 7B Instruct

GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 28.6 on the Noometry Index.

Last verified . 4 shared benchmarks.

GPT-5.5 Instant OpenAI

42.5

Rank #99 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

28.6

Rank #314 Confirmed

Summary

  • They share 4 benchmarks with published results for both. GPT-5.5 Instant scores higher in 6 categories and Qwen2.5 7B Instruct in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 17.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 2.5% for Qwen2.5 7B Instruct.
  • Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 InstantQwen2.5 7B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.528.6
Released2026-05-052024-09
WeightsProprietaryOpen
Context window—131K
Max output—8K
Input $ / M tokens—$0.17
Output $ / M tokens—$0.70
Results tracked2715

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Category by category

Coding GPT-5.5 Instant leads

GPT-5.5 Instant: 43.7 (#73), Qwen2.5 7B Instruct: 35.9 (#204)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
SciCode48.6%—
BigCodeBench Instruct—37.6%
LMArena Coding1433—
BigCodeBench Complete—46.1%

Agentic & Tool Use Not comparable

GPT-5.5 Instant: —, Qwen2.5 7B Instruct: 23.5 (#117)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
BALROG—7.8%

Reasoning GPT-5.5 Instant leads

GPT-5.5 Instant: 24.2 (#149), Qwen2.5 7B Instruct: 14.3 (#317)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
Chess Puzzles12%0%
Epoch Capabilities Index142.48118.44
CritPt0%—
LMArena Hard Prompts1426—
DTBench—47.7%
LMCA—6.4%

Math GPT-5.5 Instant leads

GPT-5.5 Instant: 26.1 (#241), Qwen2.5 7B Instruct: 11.8 (#300)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
OTIS Mock AIME 2024-202568.1%2.5%
FrontierMath (Tiers 1-3)26.3%—
FrontierMath Tier 42.4%—
Omni-MATH—29.4%
LMArena Math1420—

Knowledge GPT-5.5 Instant leads

GPT-5.5 Instant: 48.9 (#68), Qwen2.5 7B Instruct: 17.0 (#281)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
GPQA Diamond82.5%35.5%
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1409—
MMLU—72.9%

Multimodal Not comparable

GPT-5.5 Instant: 39.3 (#48), Qwen2.5 7B Instruct: —

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
LMArena Vision1250—
LMArena Document1403—

Multilingual Not comparable

GPT-5.5 Instant: 53.0 (#76), Qwen2.5 7B Instruct: —

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
LMArena Non-English1417—
LMArena Chinese1457—
LMArena French1428—
LMArena German1410—
LMArena Japanese1408—
LMArena Korean1393—
LMArena Russian1430—
LMArena Spanish1430—

Instruction Following GPT-5.5 Instant leads

GPT-5.5 Instant: 74.4 (#94), Qwen2.5 7B Instruct: 63.4 (#226)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1407—

Long Context Not comparable

GPT-5.5 Instant: 43.4 (#92), Qwen2.5 7B Instruct: —

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
LMArena Longer Query1422—

Writing & Preference GPT-5.5 Instant leads

GPT-5.5 Instant: 62.0 (#81), Qwen2.5 7B Instruct: 48.8 (#194)

BenchmarkGPT-5.5 InstantQwen2.5 7B Instruct
LMArena Text1419—
LMArena Creative Writing1420—
WildBench—73.1%
LMArena Multi-Turn1434—

Frequently asked questions

Is GPT-5.5 Instant better than Qwen2.5 7B Instruct?

GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 28.6 on the Noometry Index.

Is GPT-5.5 Instant or Qwen2.5 7B Instruct better for coding?

GPT-5.5 Instant scores higher on coding benchmarks: 43.7 versus 35.9 in the Noometry coding category.

How many benchmarks do GPT-5.5 Instant and Qwen2.5 7B Instruct share?

4 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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