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Model comparison

o3-mini vs Qwen2.5-VL-32B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
OpenAI
46.59/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: o3-mini #141 (Supported); Qwen2.5-VL-32B #184 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o3-mini and Qwen2.5-VL-32B share 0 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to o3-mini; 0 to Qwen2.5-VL-32B.

Updated July 24, 2026
Shared results
0
o3-mini only
10
Qwen2.5-VL-32B only
0
Comparable categories
0 / 8

Benchmark data for o3-mini and Qwen2.5-VL-32B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Qwen2.5-VL-32B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

o3-mini is priced at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-VL-32B. o3-mini has the larger context window at 200K, compared with 32K for Qwen2.5-VL-32B.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

Metrico3-miniQwen2.5-VL-32BComparison
Input / output priceUSD per 1M tokenso3-mini$1.1 input / $4.4 outputQwen2.5-VL-32B$0 input / $0 outputQwen2.5-VL-32B has the lower combined listed price.
Generation speedtokens per secondo3-mini160 tok/sQwen2.5-VL-32BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno3-mini7.12 sQwen2.5-VL-32BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso3-mini200KQwen2.5-VL-32B32Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko3-miniQwen2.5-VL-32BResult
τ²-bench resultsSource 28.7%Not comparable
Coding
Benchmarko3-miniQwen2.5-VL-32BResult
SWE-bench VerifiedSource 49.3%Not comparable
AA-SciCodeSource 39.9%Not comparable
Knowledge
Benchmarko3-miniQwen2.5-VL-32BResult
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Artificial Analysis Intelligence IndexSource 19.0%Not comparable
AA-GPQA DiamondSource 74.8%Not comparable
AA-HLESource 8.7%Not comparable
Math
Benchmarko3-miniQwen2.5-VL-32BResult
AIME 2024Source 87.3%Not comparable
Inst. Following
Benchmarko3-miniQwen2.5-VL-32BResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare o3-mini and Qwen2.5-VL-32B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for o3-mini and Qwen2.5-VL-32B today?

o3-mini: $1.10 input / $4.40 output per 1M tokens Qwen2.5-VL-32B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026