Pairwise benchmark snapshot · Aug 17, 2026

GPT-4o mini vs Qwen 2.5 Coder 32B benchmark

Name: GPT-4o mini vs Qwen 2.5 Coder 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen 2.5 Coder 32B delivers higher overall intelligence and human-preferred responses (Elo 1,425 vs 1,272), while Qwen 2.5 Coder 32B leads in SWE-bench software engineering benchmarks (65.2%), while GPT-4o mini is more budget-friendly at $0.6/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Qwen 2.5 Coder 32B holds empirical advantage (5 of 9 metrics)

Coding / SWESWE-bench

Qwen 2.5 Coder 32BTop code solve rate

ReasoningGPQA / Live

Qwen 2.5 Coder 32BTop logical accuracy

Best Value$/1M Tok

GPT-4o miniLowest API billing cost

Speed / TokTok/Sec

GPT-4o miniFastest stream rate

Verified Advantage Breakdown

9 benchmarks evaluated across capability, speed, and cost

GPT-4o mini (4)Qwen 2.5 Coder 32B (5)

GPT-4o mini

4 of 9 Wins

✓Time to first token✓Output speed✓Input price✓Output price

Qwen 2.5 Coder 32B

5 of 9 Wins

✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Context window

OpenAI

Leads 4 of 9

GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272In: $0.15 · Out: $0.6/1M

Alibaba

Leads 5 of 9

Qwen 2.5 Coder 32B

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

Elo 1,425In: $0.18 · Out: $0.72/1M

GPT-4 Series Lineage & Sibling Variants

4 models

Currently comparing GPT-4o mini vs Qwen 2.5 Coder 32B. Alternative family tiers available.

Active: GPT-4o mini

GPT-4o$10 GPT-4.5 Orion$150 OpenAI: GPT-4$60

Top Rival Showdowns for GPT-4o mini

All Matchups

Compare vs:vs Claude Opus 4.5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference LeaderQwen 2.5 Coder 32B Wins

Qwen 2.5 Coder 32B

Δ 153 Arena Elo pts

Throughput LeaderGPT-4o mini Wins

GPT-4o mini

160 tok/s

Value per Dollar LeaderGPT-4o mini Wins

GPT-4o mini

$0.6 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GPT-4o mini (4)vsQwen 2.5 Coder 32B (6)

GPT-4o mini: 4W (40%)Qwen 2.5 Coder 32B: 6W (60%)

← GPT-4o miniQwen 2.5 Coder 32B →

🏆Qwen 2.5 Coder 32B Leads(5/5)

Intelligence & Reasoning

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

Benchmark

GPT-4o minivsQwen 2.5 Coder 32B

Preference Elo

1,272vs1,425+153

Coding Elo

—vs1,495

SWE-bench

41.2%vs65.2%+24%

LiveBench

48.1%vs64.8%+16.7%

GPQA Diamond

60.1%vs74%+13.9%

GPT-4o mini: 0WQwen 2.5 Coder 32B: 5W

🏆GPT-4o mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

GPT-4o minivsQwen 2.5 Coder 32B

Output speed

160 tok/svs110 tok/s+50 tok/s

Time to first token

130 msvs180 ms+50 ms

GPT-4o mini: 2WQwen 2.5 Coder 32B: 0W

🏆GPT-4o mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

GPT-4o minivsQwen 2.5 Coder 32B

Output price

$0.6/1Mvs$0.72/1M+$0.12/1M

Input price

$0.15/1Mvs$0.18/1M+$0.03/1M

Context window

128kvs131k+3k

GPT-4o mini: 2WQwen 2.5 Coder 32B: 1W

Side-by-Side Benchmark Matrix

GPT-4o miniQwen 2.5 Coder 32B

Preference EloQwen 2.5 Coder 32B +153

GPT-4o mini1,272

Qwen 2.5 Coder 32B1,425

Coding Elo

GPT-4o mini—

Qwen 2.5 Coder 32B1,495

LiveBenchQwen 2.5 Coder 32B +16.7%

GPT-4o mini48.1%

Qwen 2.5 Coder 32B64.8%

SWE-benchQwen 2.5 Coder 32B +24%

GPT-4o mini41.2%

Qwen 2.5 Coder 32B65.2%

GPQA DiamondQwen 2.5 Coder 32B +13.9%

GPT-4o mini60.1%

Qwen 2.5 Coder 32B74%

Time to first tokenGPT-4o mini +50 ms

GPT-4o mini130 ms

Qwen 2.5 Coder 32B180 ms

Output speedGPT-4o mini +50 tok/s

GPT-4o mini160 tok/s

Qwen 2.5 Coder 32B110 tok/s

Input priceGPT-4o mini +$0.03/1M

GPT-4o mini$0.15/1M

Qwen 2.5 Coder 32B$0.18/1M

Output priceGPT-4o mini +$0.12/1M

GPT-4o mini$0.6/1M

Qwen 2.5 Coder 32B$0.72/1M

Context windowQwen 2.5 Coder 32B +3k

GPT-4o mini128k

Qwen 2.5 Coder 32B131k

Benchmark	GPT-4o mini	Qwen 2.5 Coder 32B	Advantage Delta
Preference Elo	1,272 lmarena · Aug 17, 2026	1,425 seed-bootstrap · Aug 1, 2026	+153
Coding Elo	—	1,495 seed-bootstrap · Aug 1, 2026	—
LiveBench	48.1% livebench · Aug 17, 2026	64.8% seed-bootstrap · Aug 1, 2026	+16.7%
SWE-bench	41.2% swebench · Aug 17, 2026	65.2% seed-bootstrap · Aug 1, 2026	+24%
GPQA Diamond	60.1% seed-bootstrap · Aug 1, 2026	74% seed-bootstrap · Aug 1, 2026	+13.9%
Time to first token	130 ms seed-bootstrap · Aug 1, 2026	180 ms seed-bootstrap · Aug 1, 2026	+50 ms
Output speed	160 tok/s seed-bootstrap · Aug 1, 2026	110 tok/s seed-bootstrap · Aug 1, 2026	+50 tok/s
Input price	$0.15/1M openrouter · Aug 17, 2026	$0.18/1M seed-bootstrap · Aug 1, 2026	+$0.03/1M
Output price	$0.6/1M openrouter · Aug 17, 2026	$0.72/1M seed-bootstrap · Aug 1, 2026	+$0.12/1M
Context window	128k openrouter · Aug 17, 2026	131k seed-bootstrap · Aug 1, 2026	+3k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 17% with GPT-4o mini

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GPT-4o mini$14.25 / mo

In: $5.25Out: $9

Qwen 2.5 Coder 32B$17.10 / mo

In: $6.3Out: $10.8

Estimated Cost Delta

GPT-4o mini is estimated to save $2.85/month ($34/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
GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
3
GPT-4o mini:Pick GPT-4o mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionGPT-4o mini

GPT-4o 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	GPT-4o mini	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-4o mini	Lower TTFT (130 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	GPT-4o mini	GPT-4o mini is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

GPT-4o mini

Elo 1,272

SWE-bench41.2%

Speed (tok/s)160 tok/s

Input / 1M Tokens$0.15/1M

Output / 1M Tokens$0.6/1M

Alibaba

Qwen 2.5 Coder 32B

Elo 1,425

SWE-bench65.2%

Speed (tok/s)110 tok/s

Input / 1M Tokens$0.18/1M

Output / 1M Tokens$0.72/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or Qwen 2.5 Coder 32B?: Qwen 2.5 Coder 32B has the higher preference Elo in our latest snapshot (1,425). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4o mini or Qwen 2.5 Coder 32B?: Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 41.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GPT-4o mini output tokens are $0.6/1M versus $0.72/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or Qwen 2.5 Coder 32B?: GPT-4o mini has the lower time-to-first-token (130 ms vs 180 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. GPT-4o 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 GPT-4o mini matchups →|All Qwen 2.5 Coder 32B matchups →

GPT-4o mini vs OpenAI o1-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)GPT-5 vs Qwen 2.5 Coder 32B Qwen 3 Max vs Qwen 2.5 Coder 32B Qwen QwQ 32B vs Qwen 2.5 Coder 32B

GPT-4o mini vs Qwen 2.5 Coder 32B benchmark

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

GPT-4o miniQwen 2.5 Coder 32B

Preference EloQwen 2.5 Coder 32B +153

GPT-4o mini1,272

Qwen 2.5 Coder 32B1,425

Coding Elo

GPT-4o mini—

Qwen 2.5 Coder 32B1,495

LiveBenchQwen 2.5 Coder 32B +16.7%

GPT-4o mini48.1%

Qwen 2.5 Coder 32B64.8%

SWE-benchQwen 2.5 Coder 32B +24%

GPT-4o mini41.2%

Qwen 2.5 Coder 32B65.2%

GPQA DiamondQwen 2.5 Coder 32B +13.9%

GPT-4o mini60.1%

Qwen 2.5 Coder 32B74%

Time to first tokenGPT-4o mini +50 ms

GPT-4o mini130 ms

Qwen 2.5 Coder 32B180 ms

Output speedGPT-4o mini +50 tok/s

GPT-4o mini160 tok/s

Qwen 2.5 Coder 32B110 tok/s

Input priceGPT-4o mini +$0.03/1M

GPT-4o mini$0.15/1M

Qwen 2.5 Coder 32B$0.18/1M

Output priceGPT-4o mini +$0.12/1M

GPT-4o mini$0.6/1M

Qwen 2.5 Coder 32B$0.72/1M

Context windowQwen 2.5 Coder 32B +3k

GPT-4o mini128k

Qwen 2.5 Coder 32B131k

Benchmark

GPT-4o mini

Qwen 2.5 Coder 32B

Advantage Delta

Preference Elo

1,272

lmarena · Aug 17, 2026

1,425

seed-bootstrap · Aug 1, 2026

+153

Coding Elo

—

1,495

seed-bootstrap · Aug 1, 2026

—

LiveBench

48.1%

livebench · Aug 17, 2026

64.8%

seed-bootstrap · Aug 1, 2026

+16.7%

SWE-bench

41.2%

swebench · Aug 17, 2026

65.2%

seed-bootstrap · Aug 1, 2026

+24%

GPQA Diamond

60.1%

seed-bootstrap · Aug 1, 2026

74%

seed-bootstrap · Aug 1, 2026

+13.9%

Time to first token

130 ms

seed-bootstrap · Aug 1, 2026

180 ms

seed-bootstrap · Aug 1, 2026

+50 ms

Output speed

160 tok/s

seed-bootstrap · Aug 1, 2026

110 tok/s

seed-bootstrap · Aug 1, 2026

+50 tok/s

Input price

$0.15/1M

openrouter · Aug 17, 2026

$0.18/1M

seed-bootstrap · Aug 1, 2026

+$0.03/1M

Output price

$0.6/1M

openrouter · Aug 17, 2026

$0.72/1M

seed-bootstrap · Aug 1, 2026

+$0.12/1M

Context window

128k

openrouter · Aug 17, 2026

131k

seed-bootstrap · Aug 1, 2026

+3k

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionGPT-4o mini

GPT-4o 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	GPT-4o mini	Lower output list price ($0.6/1M).
Voice / low-latency UI	GPT-4o mini	Lower TTFT (130 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	GPT-4o mini	GPT-4o mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4o mini or Qwen 2.5 Coder 32B?

Qwen 2.5 Coder 32B has the higher preference Elo in our latest snapshot (1,425). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4o mini or Qwen 2.5 Coder 32B?

Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 41.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GPT-4o mini output tokens are $0.6/1M versus $0.72/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4o mini or Qwen 2.5 Coder 32B?

GPT-4o mini has the lower time-to-first-token (130 ms vs 180 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. GPT-4o mini and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.