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Every score has a dated snapshot.

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  3. GPT-4o mini vs Qwen2.5 72B Instruct

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

GPT-4o mini vs Qwen2.5 72B Instruct benchmark

In this head-to-head showdown, Qwen2.5 72B Instruct is more budget-friendly at $0.4/1M 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 GPT-4o mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen2.5 72B Instruct if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
OpenAI
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out
Alibaba
Qwen2.5 72B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-72b-instruct). Preview until a second source matches.

$0.39999999999999997/1M 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

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Qwen2.5 72B Instruct

$0.39999999999999997 / 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 AdvantageGPT-4o mini 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

GPT-4o mini (8)vsQwen2.5 72B Instruct (1)
GPT-4o mini: 8W (89%)Overall: GPT-4o miniQwen2.5 72B Instruct: 1W (11%)
← GPT-4o miniQwen2.5 72B Instruct →
GPT-4o mini (4/5)

Intelligence & Reasoning

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

Preference Elo
1,272vs—
Coding Elo
—vs—
SWE-bench
41.2%vs—
LiveBench
48.1%vs—
GPQA Diamond
60.1%vs—
GPT-4o mini: 4WQwen2.5 72B Instruct: 0W
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 72B Instruct: 0W
GPT-4o mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.6/1Mvs$0.4/1M
Input price
$0.15/1Mvs$0.36/1M
Context window
128kvs33k
GPT-4o mini: 2WQwen2.5 72B Instruct: 1W

Side-by-Side Benchmark Matrix

Preference Elo
GPT-4o mini1,272
lmarena · Aug 17, 2026
Qwen2.5 72B Instruct—
LiveBench
GPT-4o mini48.1%
livebench · Aug 17, 2026
Qwen2.5 72B Instruct—
SWE-bench
GPT-4o mini41.2%
swebench · Aug 17, 2026
Qwen2.5 72B Instruct—
GPQA Diamond
GPT-4o mini60.1%
seed-bootstrap · Aug 1, 2026
Qwen2.5 72B Instruct—
Time to first token
GPT-4o mini130 ms
seed-bootstrap · Aug 1, 2026
Qwen2.5 72B Instruct—
Output speed
GPT-4o mini160 tok/s
seed-bootstrap · Aug 1, 2026
Qwen2.5 72B Instruct—
Input priceGPT-4o mini (+$0.21/1M)
GPT-4o mini$0.15/1M
openrouter · Aug 17, 2026
Qwen2.5 72B Instruct$0.36/1M
openrouter · Aug 17, 2026
Output priceQwen2.5 72B Instruct (+$0.2/1M)
GPT-4o mini$0.6/1M
openrouter · Aug 17, 2026
Qwen2.5 72B Instruct$0.4/1M
openrouter · Aug 17, 2026
Context windowGPT-4o mini (+95k)
GPT-4o mini128k
openrouter · Aug 17, 2026
Qwen2.5 72B Instruct33k
openrouter · Aug 17, 2026
BenchmarkGPT-4o miniQwen2.5 72B InstructAdvantage Delta
Preference Elo
1,272
lmarena · Aug 17, 2026
——
LiveBench
48.1%
livebench · Aug 17, 2026
——
SWE-bench
41.2%
swebench · Aug 17, 2026
——
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
$0.36/1M
openrouter · Aug 17, 2026
GPT-4o mini (+$0.21/1M)
Output price
$0.6/1M
openrouter · Aug 17, 2026
$0.4/1M
openrouter · Aug 17, 2026
Qwen2.5 72B Instruct (+$0.2/1M)
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 23% 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 72B Instruct$18.60 / mo
In: $12.6Out: $6
Estimated Cost Delta

GPT-4o mini is estimated to save $4.35/month ($52/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen2.5 72B Instruct:Pick Qwen2.5 72B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen2.5 72B Instruct

Lower output list price ($0.4/1M).

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 agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen2.5 72B InstructLower output list price ($0.4/1M).
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

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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 72B Instruct

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.4/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or Qwen2.5 72B Instruct?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-4o mini or Qwen2.5 72B Instruct?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Qwen2.5 72B Instruct output tokens are $0.4/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or Qwen2.5 72B 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 72B 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 72B Instruct matchups →
GPT-4o mini vs OpenAI o1-mini (next gpt-mini)GPT-5 vs GPT-4o miniQwen 3 Max vs GPT-4o miniGPT-4.5 Orion vs GPT-4o miniGPT-5.6 Sol vs GPT-4o miniGPT-5.6 Terra vs GPT-4o mini