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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. OpenAI o1-mini vs Qwen: Qwen3.7 Flash

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

OpenAI o1-mini vs Qwen: Qwen3.7 Flash benchmark

In this head-to-head showdown, Qwen: Qwen3.7 Flash is more budget-friendly at $0.13/1M 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 OpenAI o1-mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen: Qwen3.7 Flash if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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OpenAI
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
Alibaba
Qwen: Qwen3.7 Flash

Auto-discovered from OpenRouter (qwen/qwen3.7-flash). Preview until a second source matches.

$0.13/1M out
Top Rival Showdowns for OpenAI o1-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

Qwen: Qwen3.7 Flash

$0.13 / 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 AdvantageOpenAI o1-mini 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI o1-mini (7)vsQwen: Qwen3.7 Flash (3)
OpenAI o1-mini: 7W (70%)Overall: OpenAI o1-miniQwen: Qwen3.7 Flash: 3W (30%)
← OpenAI o1-miniQwen: Qwen3.7 Flash →
OpenAI o1-mini (5/5)

Intelligence & Reasoning

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

Preference Elo
1,445vs—
Coding Elo
1,468vs—
SWE-bench
56.4%vs—
LiveBench
62%vs—
GPQA Diamond
76.8%vs—
OpenAI o1-mini: 5WQwen: Qwen3.7 Flash: 0W
OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
85 tok/svs—
Time to first token
280 msvs—
OpenAI o1-mini: 2WQwen: Qwen3.7 Flash: 0W
Qwen: Qwen3.7 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$4.4/1Mvs$0.13/1M
Input price
$1.1/1Mvs$0.03/1M
Context window
128kvs1M
OpenAI o1-mini: 0WQwen: Qwen3.7 Flash: 3W

Side-by-Side Benchmark Matrix

Preference Elo
OpenAI o1-mini1,445
lmarena · Aug 17, 2026
Qwen: Qwen3.7 Flash—
Coding Elo
OpenAI o1-mini1,468
lmarena · Aug 17, 2026
Qwen: Qwen3.7 Flash—
LiveBench
OpenAI o1-mini62%
livebench · Aug 17, 2026
Qwen: Qwen3.7 Flash—
SWE-bench
OpenAI o1-mini56.4%
swebench · Aug 17, 2026
Qwen: Qwen3.7 Flash—
GPQA Diamond
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash—
Time to first token
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash—
Output speed
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash—
Input priceQwen: Qwen3.7 Flash (+$1.07/1M)
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash$0.03/1M
openrouter · Aug 17, 2026
Output priceQwen: Qwen3.7 Flash (+$4.27/1M)
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash$0.13/1M
openrouter · Aug 17, 2026
Context windowQwen: Qwen3.7 Flash (+872k)
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.7 Flash1M
openrouter · Aug 17, 2026
BenchmarkOpenAI o1-miniQwen: Qwen3.7 FlashAdvantage Delta
Preference Elo
1,445
lmarena · Aug 17, 2026
——
Coding Elo
1,468
lmarena · Aug 17, 2026
——
LiveBench
62%
livebench · Aug 17, 2026
——
SWE-bench
56.4%
swebench · Aug 17, 2026
——
GPQA Diamond
76.8%
seed-bootstrap · Aug 1, 2026
——
Time to first token
280 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
85 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$0.03/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.7 Flash (+$1.07/1M)
Output price
$4.4/1M
seed-bootstrap · Aug 1, 2026
$0.13/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.7 Flash (+$4.27/1M)
Context window
128k
seed-bootstrap · Aug 1, 2026
1M
openrouter · Aug 17, 2026
Qwen: Qwen3.7 Flash (+872k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 97% with Qwen: Qwen3.7 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Qwen: Qwen3.7 Flash$3.00 / mo
In: $1.05Out: $1.95
Estimated Cost Delta

Qwen: Qwen3.7 Flash is estimated to save $101.50/month ($1,218/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen: Qwen3.7 Flash:Pick Qwen: Qwen3.7 Flash when you are optimizing output cost.
  • 2
    Qwen: Qwen3.7 Flash:Pick Qwen: Qwen3.7 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.7 Flash

Lower output list price ($0.13/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Flash

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Flash

Qwen: Qwen3.7 Flash is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen: Qwen3.7 FlashLower output list price ($0.13/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.7 FlashLarger window (1M).
Screenshots / visionQwen: Qwen3.7 FlashQwen: Qwen3.7 Flash 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

OpenAI o1-mini

Elo 1,445
LiveBench62%
SWE-bench56.4%
Speed85 tok/s
Output cost$4.4/1M
Alibaba

Qwen: Qwen3.7 Flash

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.13/1M

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Qwen: Qwen3.7 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, OpenAI o1-mini or Qwen: Qwen3.7 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?
Qwen: Qwen3.7 Flash output tokens are $0.13/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI o1-mini or Qwen: Qwen3.7 Flash?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.7 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. OpenAI o1-mini and Qwen: Qwen3.7 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI o1-mini matchups →|All Qwen: Qwen3.7 Flash matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)Qwen 3 Max vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-miniGPT-5 vs OpenAI o1-mini