Pairwise benchmark snapshot · Aug 1, 2026

OpenAI o1-mini vs Qwen 2.5 Coder 32B benchmark

Name: OpenAI o1-mini vs Qwen 2.5 Coder 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares OpenAI o1-mini (OpenAI) and Qwen 2.5 Coder 32B (Alibaba) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, OpenAI o1-mini is ahead by 20 points (1,445 vs 1,425; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen 2.5 Coder 32B resolves 65.2% versus 56.4% (seed-bootstrap (Aug 1, 2026)). Qwen 2.5 Coder 32B streams faster (110 tok/s) while Qwen 2.5 Coder 32B is the cheaper output token ($0.72/1M). Qwen 2.5 Coder 32B has the larger context window (131k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out

Alibaba

Qwen 2.5 Coder 32B

Alibaba dedicated open-weight code generation model with near-frontier SWE-bench Verified coding capability.

Elo 1,425$0.72/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenAI o1-mini (2)vsQwen 2.5 Coder 32B (8)

OpenAI o1-mini: 2W (20%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 8W (80%)

← OpenAI o1-miniQwen 2.5 Coder 32B →

Qwen 2.5 Coder 32B (3/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,445vs1,425

Coding Elo

1,468vs1,495

SWE-bench

56.4%vs65.2%

LiveBench

62%vs64.8%

GPQA Diamond

76.8%vs74%

OpenAI o1-mini: 2WQwen 2.5 Coder 32B: 3W

Qwen 2.5 Coder 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs110 tok/s

Time to first token

280 msvs180 ms

OpenAI o1-mini: 0WQwen 2.5 Coder 32B: 2W

Qwen 2.5 Coder 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4.4/1Mvs$0.72/1M

Input price

$1.1/1Mvs$0.18/1M

Context window

128kvs131k

OpenAI o1-mini: 0WQwen 2.5 Coder 32B: 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageQwen 2.5 Coder 32B 4/6

Preference Elo

OpenAI o1-mini

20 pts advantage

Throughput Speed

Qwen 2.5 Coder 32B

25 tok/s faster

Price Efficiency

Qwen 2.5 Coder 32B

$3.68/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+1%1,445

EloHigh is better

1,425

Code Elo

High is better

1,468

Code EloHigh is better

1,495+2%

LiveBench

High is better

62%

LiveBenchHigh is better

64.8%+5%

SWE-bench

High is better

56.4%

SWE-benchHigh is better

65.2%+16%

GPQA

High is better

+4%76.8%

GPQAHigh is better

74%

TTFT

Low is better

280 ms

TTFTLow is better

180 ms+56%

Speed

High is better

85 tok/s

SpeedHigh is better

110 tok/s+29%

In $

Low is better

$1.1/1M

In $Low is better

$0.18/1M+511%

Out $

Low is better

$4.4/1M

Out $Low is better

$0.72/1M+511%

Context

High is better

128k

ContextHigh is better

131k+2%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 84% with Qwen 2.5 Coder 32B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

OpenAI o1-mini$104.50 / mo

In: $38.50Out: $66.00

Qwen 2.5 Coder 32B$17.10 / mo

In: $6.30Out: $10.80

Estimated Cost Delta

Qwen 2.5 Coder 32B is estimated to save $87.40/month ($1,049/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen 2.5 Coder 32B:Pick Qwen 2.5 Coder 32B when repo-level coding accuracy is the constraint.
2
Qwen 2.5 Coder 32B:Pick Qwen 2.5 Coder 32B when time-to-first-token matters more than peak Elo.
3
OpenAI o1-mini:Pick OpenAI o1-mini as the default general assistant.

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatQwen 2.5 Coder 32B

Lower output list price ($0.72/1M).

Voice / low-latency UIQwen 2.5 Coder 32B

Lower TTFT (180 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 2.5 Coder 32B	Higher SWE-bench (65.2%).
High-volume chat	Qwen 2.5 Coder 32B	Lower output list price ($0.72/1M).
Voice / low-latency UI	Qwen 2.5 Coder 32B	Lower TTFT (180 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	OpenAI o1-mini	OpenAI o1-mini is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

OpenAI

OpenAI o1-mini

Elo 1,445

LiveBench62%

SWE-bench56.4%

Speed85 tok/s

Output cost$4.4/1M

Alibaba

Qwen 2.5 Coder 32B

Elo 1,425

LiveBench64.8%

SWE-bench65.2%

Speed110 tok/s

Output cost$0.72/1M

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Qwen 2.5 Coder 32B?: OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, OpenAI o1-mini or Qwen 2.5 Coder 32B?: Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 56.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Qwen 2.5 Coder 32B output tokens are $0.72/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI o1-mini or Qwen 2.5 Coder 32B?: Qwen 2.5 Coder 32B has the lower time-to-first-token (180 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Qwen 2.5 Coder 32B accepts 131k tokens versus 128k.
Can I self-host either model?: Qwen 2.5 Coder 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. OpenAI o1-mini and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI o1-mini matchups →|All Qwen 2.5 Coder 32B matchups →

OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)Qwen QwQ 32B vs OpenAI o1-mini Qwen 3 Max vs OpenAI o1-mini

OpenAI o1-mini vs Qwen 2.5 Coder 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenAI o1-mini (2)vsQwen 2.5 Coder 32B (8)

OpenAI o1-mini: 2W (20%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 8W (80%)

← OpenAI o1-miniQwen 2.5 Coder 32B →

Qwen 2.5 Coder 32B (3/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,445vs1,425

Coding Elo

1,468vs1,495

SWE-bench

56.4%vs65.2%

LiveBench

62%vs64.8%

GPQA Diamond

76.8%vs74%

OpenAI o1-mini: 2WQwen 2.5 Coder 32B: 3W

Qwen 2.5 Coder 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs110 tok/s

Time to first token

280 msvs180 ms

OpenAI o1-mini: 0WQwen 2.5 Coder 32B: 2W

Qwen 2.5 Coder 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4.4/1Mvs$0.72/1M

Input price

$1.1/1Mvs$0.18/1M

Context window

128kvs131k

OpenAI o1-mini: 0WQwen 2.5 Coder 32B: 3W

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatQwen 2.5 Coder 32B

Lower output list price ($0.72/1M).

Voice / low-latency UIQwen 2.5 Coder 32B

Lower TTFT (180 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 2.5 Coder 32B	Higher SWE-bench (65.2%).
High-volume chat	Qwen 2.5 Coder 32B	Lower output list price ($0.72/1M).
Voice / low-latency UI	Qwen 2.5 Coder 32B	Lower TTFT (180 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	OpenAI o1-mini	OpenAI o1-mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Qwen 2.5 Coder 32B?

OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, OpenAI o1-mini or Qwen 2.5 Coder 32B?

Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 56.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Qwen 2.5 Coder 32B output tokens are $0.72/1M versus $4.4/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenAI o1-mini or Qwen 2.5 Coder 32B?

Qwen 2.5 Coder 32B has the lower time-to-first-token (180 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Qwen 2.5 Coder 32B accepts 131k tokens versus 128k.

Can I self-host either model?

Qwen 2.5 Coder 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. OpenAI o1-mini and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.