Skip to main content

Model comparison

o3 vs Qwen2.5 Coder 32B Instruct

Data verified

Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
47.89/100
Margin
13.2pts
← winning
0 category wins0 category wins

Public leaderboard positions: o3 #131 (Supported); Qwen2.5 Coder 32B Instruct #186 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o3 and Qwen2.5 Coder 32B Instruct share 4 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to o3; 0 to Qwen2.5 Coder 32B Instruct.

Updated July 18, 2026
Shared results
4
o3 only
12
Qwen2.5 Coder 32B Instruct only
0
Comparable categories
0 / 8

Benchmark data for o3 and Qwen2.5 Coder 32B Instruct is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

o3 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5 Coder 32B Instruct. o3 has the larger context window at 200K, compared with 128K for Qwen2.5 Coder 32B Instruct.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for o3 and Qwen2.5 Coder 32B Instruct
Categoryo3ΔQwen2.5 Coder 32B Instruct
Matho314.5MarginNo overlapQwen2.5 Coder 32B InstructNot measured

Operational comparison

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

Metrico3Qwen2.5 Coder 32B InstructComparison
Input / output priceUSD per 1M tokenso3$2 input / $8 outputQwen2.5 Coder 32B Instruct$0 input / $0 outputQwen2.5 Coder 32B Instruct has the lower combined listed price.
Generation speedtokens per secondo3118 tok/sQwen2.5 Coder 32B InstructNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno35.38 sQwen2.5 Coder 32B InstructNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso3200KQwen2.5 Coder 32B Instruct128Ko3 lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko3Qwen2.5 Coder 32B InstructResult
τ²-bench resultsSource 80.7%Not comparable
Coding
Benchmarko3Qwen2.5 Coder 32B InstructResult
AA-SciCodeSource 41.0%27.1%o3 leads
Reasoning
Benchmarko3Qwen2.5 Coder 32B InstructResult
AA-LCRSource 69.3%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
Benchmarko3Qwen2.5 Coder 32B InstructResult
Artificial Analysis Intelligence IndexSource 30.4%7.1%o3 leads
AA-GPQA DiamondSource 82.7%41.7%o3 leads
AA-HLESource 20.0%3.8%o3 leads
AA-Omniscience IndexSource -15.3%Not comparable
AA-Omniscience AccuracySource 38.4%Not comparable
AA-Omniscience Hallucination RateSource 87.1%Not comparable
Math
Benchmarko3Qwen2.5 Coder 32B InstructResult
AA MATH-500Source 99.2%Not comparable
FrontierMath v2 (Tiers 1-3)Source 18.685%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
Benchmarko3Qwen2.5 Coder 32B InstructResult
AA-MMMU-ProSource 70.1%Not comparable
Design Arena WebsiteSource 1069Not comparable
Inst. Following
Benchmarko3Qwen2.5 Coder 32B InstructResult
AA-IFBenchSource 71.4%Not comparable
Frequently Asked Questions (3)

Can I compare o3 and Qwen2.5 Coder 32B Instruct 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 and Qwen2.5 Coder 32B Instruct today?

o3: $2.00 input / $8.00 output per 1M tokens Qwen2.5 Coder 32B Instruct: $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.

Related Comparisons

Last updated: July 18, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.