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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. GPT-4o mini vs Qwen2.5 Coder 32B Instruct

Pairwise benchmark snapshot · Aug 17, 2026

GPT-4o mini vs Qwen2.5 Coder 32B Instruct benchmark

In this head-to-head showdown, Qwen2.5 Coder 32B Instruct delivers higher overall intelligence and human-preferred responses (Elo 1,425 vs 1,272), while Qwen2.5 Coder 32B Instruct 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.

Executive Comparison Verdict

Bottom Line: Choose Qwen2.5 Coder 32B Instruct if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GPT-4o mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
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OpenAI
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out
Alibaba
Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

Elo 1,425$1/1M out

GPT-4 Series Family & Variants (4)

Speed, cost, and intelligence tradeoffs across the OpenAI lineup

vs Base Model
GPT-4o
OpenAI
Base Model
Elo1335
Speed110 t/s
In /1M$2.5
Out /1M$10
View specs →vs this
GPT-4o mini
OpenAI
4o Mini
Elo1272
Speed160 t/s
In /1M$0.15
Out /1M$0.6
-63 Elo-94% price1.5x speed
Selected
GPT-4.5 Orion
OpenAI
Elo1540
Speed60 t/s
In /1M$75
Out /1M$150
+205 Elo+1400% price0.5x speed
View specs →vs this
OpenAI: GPT-4
OpenAI
Elo—
Speed—
In /1M$30
Out /1M$60
+500% price
View specs →vs this
Top Rival Showdowns for GPT-4o mini
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

Qwen2.5 Coder 32B Instruct

Δ 153 Arena Elo pts

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

GPT-4o mini

$0.6 / 1M output

Capability Percentiles

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

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 AdvantageEven 3–3
Head-to-Head Comparison

Overall Matchup Breakdown

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

GPT-4o mini (6)vsQwen2.5 Coder 32B Instruct (4)
GPT-4o mini: 6W (60%)Overall: GPT-4o miniQwen2.5 Coder 32B Instruct: 4W (40%)
← GPT-4o miniQwen2.5 Coder 32B Instruct →
Qwen2.5 Coder 32B Instruct (4/5)

Intelligence & Reasoning

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

Preference Elo
1,272vs1,425
Coding Elo
—vs1,495
SWE-bench
41.2%vs65.2%
LiveBench
48.1%vs64.8%
GPQA Diamond
60.1%vs—
GPT-4o mini: 1WQwen2.5 Coder 32B Instruct: 4W
GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
160 tok/svs—
Time to first token
130 msvs—
GPT-4o mini: 2WQwen2.5 Coder 32B Instruct: 0W
GPT-4o mini (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.6/1Mvs$1/1M
Input price
$0.15/1Mvs$0.66/1M
Context window
128kvs33k
GPT-4o mini: 3WQwen2.5 Coder 32B Instruct: 0W

Side-by-Side Benchmark Matrix

Preference EloQwen2.5 Coder 32B Instruct (+153)
GPT-4o mini1,272
lmarena · Aug 17, 2026
Qwen2.5 Coder 32B Instruct1,425
lmarena · Aug 17, 2026
Coding Elo
GPT-4o mini—
Qwen2.5 Coder 32B Instruct1,495
lmarena · Aug 17, 2026
LiveBenchQwen2.5 Coder 32B Instruct (+16.7%)
GPT-4o mini48.1%
livebench · Aug 17, 2026
Qwen2.5 Coder 32B Instruct64.8%
livebench · Aug 17, 2026
SWE-benchQwen2.5 Coder 32B Instruct (+24%)
GPT-4o mini41.2%
swebench · Aug 17, 2026
Qwen2.5 Coder 32B Instruct65.2%
swebench · Aug 17, 2026
GPQA Diamond
GPT-4o mini60.1%
seed-bootstrap · Aug 1, 2026
Qwen2.5 Coder 32B Instruct—
Time to first token
GPT-4o mini130 ms
seed-bootstrap · Aug 1, 2026
Qwen2.5 Coder 32B Instruct—
Output speed
GPT-4o mini160 tok/s
seed-bootstrap · Aug 1, 2026
Qwen2.5 Coder 32B Instruct—
Input priceGPT-4o mini (+$0.51/1M)
GPT-4o mini$0.15/1M
openrouter · Aug 17, 2026
Qwen2.5 Coder 32B Instruct$0.66/1M
openrouter · Aug 17, 2026
Output priceGPT-4o mini (+$0.4/1M)
GPT-4o mini$0.6/1M
openrouter · Aug 17, 2026
Qwen2.5 Coder 32B Instruct$1/1M
openrouter · Aug 17, 2026
Context windowGPT-4o mini (+95k)
GPT-4o mini128k
openrouter · Aug 17, 2026
Qwen2.5 Coder 32B Instruct33k
openrouter · Aug 17, 2026
BenchmarkGPT-4o miniQwen2.5 Coder 32B InstructAdvantage Delta
Preference Elo
1,272
lmarena · Aug 17, 2026
1,425
lmarena · Aug 17, 2026
Qwen2.5 Coder 32B Instruct (+153)
Coding Elo—
1,495
lmarena · Aug 17, 2026
—
LiveBench
48.1%
livebench · Aug 17, 2026
64.8%
livebench · Aug 17, 2026
Qwen2.5 Coder 32B Instruct (+16.7%)
SWE-bench
41.2%
swebench · Aug 17, 2026
65.2%
swebench · Aug 17, 2026
Qwen2.5 Coder 32B Instruct (+24%)
GPQA Diamond
60.1%
seed-bootstrap · Aug 1, 2026
——
Time to first token
130 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
160 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.15/1M
openrouter · Aug 17, 2026
$0.66/1M
openrouter · Aug 17, 2026
GPT-4o mini (+$0.51/1M)
Output price
$0.6/1M
openrouter · Aug 17, 2026
$1/1M
openrouter · Aug 17, 2026
GPT-4o mini (+$0.4/1M)
Context window
128k
openrouter · Aug 17, 2026
33k
openrouter · Aug 17, 2026
GPT-4o mini (+95k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 63% 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
Qwen2.5 Coder 32B Instruct$38.10 / mo
In: $23.1Out: $15
Estimated Cost Delta

GPT-4o mini is estimated to save $23.85/month ($286/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen2.5 Coder 32B Instruct:Pick Qwen2.5 Coder 32B Instruct when repo-level coding accuracy is the constraint.
  • 2
    GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
  • 3
    Qwen2.5 Coder 32B Instruct:Pick Qwen2.5 Coder 32B Instruct as the default general assistant.

Recommended Workload Routing

Repo / coding agentsQwen2.5 Coder 32B Instruct

Higher SWE-bench (65.2%).

High-volume chatGPT-4o mini

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-4o mini

Larger window (128k).

Screenshots / visionGPT-4o mini

GPT-4o mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsQwen2.5 Coder 32B InstructHigher SWE-bench (65.2%).
High-volume chatGPT-4o miniLower output list price ($0.6/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGPT-4o miniLarger window (128k).
Screenshots / visionGPT-4o miniGPT-4o mini is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

GPT-4o mini

Elo 1,272
LiveBench48.1%
SWE-bench41.2%
Speed160 tok/s
Output cost$0.6/1M
Alibaba

Qwen2.5 Coder 32B Instruct

Elo 1,425
LiveBench64.8%
SWE-bench65.2%
Speed—
Output cost$1/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or Qwen2.5 Coder 32B Instruct?
Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct?
Qwen2.5 Coder 32B Instruct 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 $1/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or Qwen2.5 Coder 32B Instruct?
We do not have TTFT for both models.
Which has the larger context window?
GPT-4o mini accepts 128k tokens versus 33k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
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 Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct matchups →
GPT-4o mini vs OpenAI o1-mini (next gpt-mini)Qwen2.5 Coder 32B Instruct vs Qwen 2.5 Plus (next qwen)GPT-5 vs Qwen2.5 Coder 32B InstructQwen 3 Max vs Qwen2.5 Coder 32B InstructGPT-4.5 Orion vs Qwen2.5 Coder 32B InstructGPT-5.6 Sol vs Qwen2.5 Coder 32B Instruct