CompareLLM
CompareLLM.ai
Live
Explore
Compare
Decide
Track
Learn
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

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

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. GPT-5 mini vs Qwen: Qwen3 VL 32B Instruct

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

GPT-5 mini vs Qwen: Qwen3 VL 32B Instruct benchmark

In this head-to-head showdown, Qwen: Qwen3 VL 32B Instruct is more budget-friendly at $0.416/1M 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-5 mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen: Qwen3 VL 32B Instruct if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:Share:
WhatsAppTelegramXLinkedIn
Executive Verdict Summary

Qwen: Qwen3 VL 32B Instruct holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
GPT-5 miniTop code solve rate
ReasoningGPQA / Live
GPT-5 miniTop logical accuracy
Best Value$/1M Tok
Qwen: Qwen3 VL 32B InstructLowest API billing cost
Speed / TokTok/Sec
GPT-5 miniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

GPT-5 mini (1)Qwen: Qwen3 VL 32B Instruct (2)
GPT-5 mini
1 of 3 Wins
✓Context window
Qwen: Qwen3 VL 32B Instruct
2 of 3 Wins
✓Input price✓Output price
OpenAI
Leads 1 of 3
GPT-5 mini

Cost-efficient GPT-5 distill for high-volume agents.

Mini DistillElo 1,410In: $0.25 · Out: $2/1M
Alibaba
Leads 2 of 3
Qwen: Qwen3 VL 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen3-vl-32b-instruct). Preview until a second source matches.

In: $0.104 · Out: $0.416/1M

GPT-5 Series Lineage & Sibling Variants

2 models

Currently comparing GPT-5 mini vs Qwen: Qwen3 VL 32B Instruct. Alternative family tiers available.

Active: GPT-5 mini
GPT-5$10
Top Rival Showdowns for GPT-5 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 LeaderQwen: Qwen3 VL 32B Instruct Wins

Qwen: Qwen3 VL 32B Instruct

$0.41600000000000004 / 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-5 mini (8)vsQwen: Qwen3 VL 32B Instruct (2)
GPT-5 mini: 8W (80%)Overall: GPT-5 miniQwen: Qwen3 VL 32B Instruct: 2W (20%)
← GPT-5 miniQwen: Qwen3 VL 32B Instruct →
🏆GPT-5 mini Leads(5/5)

Intelligence & Reasoning

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

Benchmark
GPT-5 minivsQwen: Qwen3 VL 32B Instruct
Preference Elo
1,410vs—
Coding Elo
1,395vs—
SWE-bench
52.4%vs—
LiveBench
61.2%vs—
GPQA Diamond
72%vs—
GPT-5 mini: 5WQwen: Qwen3 VL 32B Instruct: 0W
🏆GPT-5 mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-5 minivsQwen: Qwen3 VL 32B Instruct
Output speed
155 tok/svs—
Time to first token
140 msvs—
GPT-5 mini: 2WQwen: Qwen3 VL 32B Instruct: 0W
🏆Qwen: Qwen3 VL 32B Instruct Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-5 minivsQwen: Qwen3 VL 32B Instruct
Output price
$2/1Mvs$0.416/1M+$1.584/1M
Input price
$0.25/1Mvs$0.104/1M+$0.146/1M
Context window
400kvs131k+269k
GPT-5 mini: 1WQwen: Qwen3 VL 32B Instruct: 2W

Side-by-Side Benchmark Matrix

GPT-5 miniQwen: Qwen3 VL 32B Instruct
Preference Elo
GPT-5 mini1,410
Qwen: Qwen3 VL 32B Instruct—
Coding Elo
GPT-5 mini1,395
Qwen: Qwen3 VL 32B Instruct—
LiveBench
GPT-5 mini61.2%
Qwen: Qwen3 VL 32B Instruct—
SWE-bench
GPT-5 mini52.4%
Qwen: Qwen3 VL 32B Instruct—
GPQA Diamond
GPT-5 mini72%
Qwen: Qwen3 VL 32B Instruct—
Time to first token
GPT-5 mini140 ms
Qwen: Qwen3 VL 32B Instruct—
Output speed
GPT-5 mini155 tok/s
Qwen: Qwen3 VL 32B Instruct—
Input priceQwen: Qwen3 VL 32B Instruct +$0.146/1M
GPT-5 mini$0.25/1M
Qwen: Qwen3 VL 32B Instruct$0.104/1M
Output priceQwen: Qwen3 VL 32B Instruct +$1.584/1M
GPT-5 mini$2/1M
Qwen: Qwen3 VL 32B Instruct$0.416/1M
Context windowGPT-5 mini +269k
GPT-5 mini400k
Qwen: Qwen3 VL 32B Instruct131k
BenchmarkGPT-5 miniQwen: Qwen3 VL 32B InstructAdvantage Delta
Preference Elo
1,410
lmarena · Aug 17, 2026
——
Coding Elo
1,395
lmarena · Aug 17, 2026
——
LiveBench
61.2%
livebench · Aug 17, 2026
——
SWE-bench
52.4%
swebench · Aug 17, 2026
——
GPQA Diamond
72%
seed-bootstrap · Aug 1, 2026
——
Time to first token
140 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
155 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.25/1M
openrouter · Aug 17, 2026
$0.104/1M
openrouter · Aug 17, 2026
+$0.146/1M
Output price
$2/1M
openrouter · Aug 17, 2026
$0.416/1M
openrouter · Aug 17, 2026
+$1.584/1M
Context window
400k
openrouter · Aug 17, 2026
131k
openrouter · Aug 17, 2026
+269k

Workload Cost & Savings Calculator

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

Save 75% with Qwen: Qwen3 VL 32B Instruct
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
GPT-5 mini$38.75 / mo
In: $8.75Out: $30
Qwen: Qwen3 VL 32B Instruct$9.88 / mo
In: $3.64Out: $6.24
Estimated Cost Delta

Qwen: Qwen3 VL 32B Instruct is estimated to save $28.87/month ($346/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen: Qwen3 VL 32B Instruct:Pick Qwen: Qwen3 VL 32B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 VL 32B Instruct

Lower output list price ($0.416/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5 mini

Larger window (400k).

Screenshots / visionGPT-5 mini

GPT-5 mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen: Qwen3 VL 32B InstructLower output list price ($0.416/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGPT-5 miniLarger window (400k).
Screenshots / visionGPT-5 miniGPT-5 mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/gpt-5-mini-vs-qwen3-vl-32b-instruct/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

GPT-5 mini

Elo 1,410
SWE-bench52.4%
Speed (tok/s)155 tok/s
Input / 1M Tokens$0.25/1M
Output / 1M Tokens$2/1M
Alibaba

Qwen: Qwen3 VL 32B Instruct

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$0.104/1M
Output / 1M Tokens$0.416/1M

Frequently Asked Questions

Which is better overall, GPT-5 mini or Qwen: Qwen3 VL 32B 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-5 mini or Qwen: Qwen3 VL 32B 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?
Qwen: Qwen3 VL 32B Instruct output tokens are $0.416/1M versus $2/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5 mini or Qwen: Qwen3 VL 32B Instruct?
We do not have TTFT for both models.
Which has the larger context window?
GPT-5 mini accepts 400k tokens versus 131k.
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-5 mini and Qwen: Qwen3 VL 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Similar Head-to-Head Comparisons

All GPT-5 mini matchups →|All Qwen: Qwen3 VL 32B Instruct matchups →
GPT-5 mini vs OpenAI: o3 Mini (previous gpt-mini)GPT-5 mini vs GPT-5.6 Luna (next gpt-mini)Qwen 3 Max vs GPT-5 miniGPT-4.5 Orion vs GPT-5 miniGPT-5.6 Terra vs GPT-5 miniGPT-5 vs GPT-5 mini