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  3. GPT-4o mini vs Qwen: Qwen3.6 Flash

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

GPT-4o mini vs Qwen: Qwen3.6 Flash benchmark

In this head-to-head showdown, 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: Both GPT-4o mini and Qwen: Qwen3.6 Flash present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

GPT-4o mini holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
GPT-4o miniTop code solve rate
ReasoningGPQA / Live
GPT-4o miniTop logical accuracy
Best Value$/1M Tok
GPT-4o miniLowest API billing cost
Speed / TokTok/Sec
GPT-4o miniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

GPT-4o mini (2)Qwen: Qwen3.6 Flash (1)
GPT-4o mini
2 of 3 Wins
✓Input price✓Output price
Qwen: Qwen3.6 Flash
1 of 3 Wins
✓Context window
OpenAI
Leads 2 of 3
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272In: $0.15 · Out: $0.6/1M
Alibaba
Leads 1 of 3
Qwen: Qwen3.6 Flash

Auto-discovered from OpenRouter (qwen/qwen3.6-flash). Preview until a second source matches.

In: $0.188 · Out: $1.125/1M

GPT-4 Series Lineage & Sibling Variants

4 models

Currently comparing GPT-4o mini vs Qwen: Qwen3.6 Flash. Alternative family tiers available.

Active: GPT-4o mini
GPT-4o$10GPT-4.5 Orion$150OpenAI: GPT-4$60
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 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 (8)vsQwen: Qwen3.6 Flash (1)
GPT-4o mini: 8W (89%)Overall: GPT-4o miniQwen: Qwen3.6 Flash: 1W (11%)
← GPT-4o miniQwen: Qwen3.6 Flash →
🏆GPT-4o mini Leads(4/5)

Intelligence & Reasoning

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

Benchmark
GPT-4o minivsQwen: Qwen3.6 Flash
Preference Elo
1,272vs—
Coding Elo
—vs—
SWE-bench
41.2%vs—
LiveBench
48.1%vs—
GPQA Diamond
60.1%vs—
GPT-4o mini: 4WQwen: Qwen3.6 Flash: 0W
🏆GPT-4o mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-4o minivsQwen: Qwen3.6 Flash
Output speed
160 tok/svs—
Time to first token
130 msvs—
GPT-4o mini: 2WQwen: Qwen3.6 Flash: 0W
🏆GPT-4o mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-4o minivsQwen: Qwen3.6 Flash
Output price
$0.6/1Mvs$1.125/1M+$0.525/1M
Input price
$0.15/1Mvs$0.188/1M+$0.038/1M
Context window
128kvs1M+872k
GPT-4o mini: 2WQwen: Qwen3.6 Flash: 1W

Side-by-Side Benchmark Matrix

GPT-4o miniQwen: Qwen3.6 Flash
Preference Elo
GPT-4o mini1,272
Qwen: Qwen3.6 Flash—
LiveBench
GPT-4o mini48.1%
Qwen: Qwen3.6 Flash—
SWE-bench
GPT-4o mini41.2%
Qwen: Qwen3.6 Flash—
GPQA Diamond
GPT-4o mini60.1%
Qwen: Qwen3.6 Flash—
Time to first token
GPT-4o mini130 ms
Qwen: Qwen3.6 Flash—
Output speed
GPT-4o mini160 tok/s
Qwen: Qwen3.6 Flash—
Input priceGPT-4o mini +$0.038/1M
GPT-4o mini$0.15/1M
Qwen: Qwen3.6 Flash$0.188/1M
Output priceGPT-4o mini +$0.525/1M
GPT-4o mini$0.6/1M
Qwen: Qwen3.6 Flash$1.125/1M
Context windowQwen: Qwen3.6 Flash +872k
GPT-4o mini128k
Qwen: Qwen3.6 Flash1M
BenchmarkGPT-4o miniQwen: Qwen3.6 FlashAdvantage 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
$0.188/1M
openrouter · Aug 17, 2026
+$0.038/1M
Output price
$0.6/1M
openrouter · Aug 17, 2026
$1.125/1M
openrouter · Aug 17, 2026
+$0.525/1M
Context window
128k
openrouter · Aug 17, 2026
1M
openrouter · Aug 17, 2026
+872k

Workload Cost & Savings Calculator

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

Save 39% 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: Qwen3.6 Flash$23.44 / mo
In: $6.56Out: $16.88
Estimated Cost Delta

GPT-4o mini is estimated to save $9.19/month ($110/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
  • 2
    Qwen: Qwen3.6 Flash:Pick Qwen: Qwen3.6 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGPT-4o mini

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.6 Flash

Larger window (1M).

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 chatGPT-4o miniLower output list price ($0.6/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.6 FlashLarger window (1M).
Screenshots / visionGPT-4o miniGPT-4o mini is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
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: Qwen3.6 Flash

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$0.188/1M
Output / 1M Tokens$1.125/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or Qwen: Qwen3.6 Flash?
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 Qwen: Qwen3.6 Flash?
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?
GPT-4o mini output tokens are $0.6/1M versus $1.125/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or Qwen: Qwen3.6 Flash?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.6 Flash accepts 1M tokens versus 128k.
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 Qwen: Qwen3.6 Flash 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: Qwen3.6 Flash 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