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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: Qwen3.8 Max

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

OpenAI o1-mini vs Qwen: Qwen3.8 Max benchmark

In this head-to-head showdown, OpenAI o1-mini is more budget-friendly at $4.4/1M 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: Both OpenAI o1-mini and Qwen: Qwen3.8 Max present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:Share:
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Executive Verdict Summary

OpenAI o1-mini holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
OpenAI o1-miniTop code solve rate
ReasoningGPQA / Live
OpenAI o1-miniTop logical accuracy
Best Value$/1M Tok
OpenAI o1-miniLowest API billing cost
Speed / TokTok/Sec
OpenAI o1-miniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

OpenAI o1-mini (2)Qwen: Qwen3.8 Max (1)
OpenAI o1-mini
2 of 3 Wins
✓Input price✓Output price
Qwen: Qwen3.8 Max
1 of 3 Wins
✓Context window
OpenAI
Leads 2 of 3
OpenAI o1-mini

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

Elo 1,445In: $1.1 · Out: $4.4/1M
Alibaba
Leads 1 of 3
Qwen: Qwen3.8 Max

Auto-discovered from OpenRouter (qwen/qwen3.8-max). Preview until a second source matches.

In: $2 · Out: $6/1M
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 LeaderOpenAI o1-mini Wins

OpenAI o1-mini

$4.4 / 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.

OpenAI o1-mini (9)vsQwen: Qwen3.8 Max (1)
OpenAI o1-mini: 9W (90%)Overall: OpenAI o1-miniQwen: Qwen3.8 Max: 1W (10%)
← OpenAI o1-miniQwen: Qwen3.8 Max →
🏆OpenAI o1-mini Leads(5/5)

Intelligence & Reasoning

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

Benchmark
OpenAI o1-minivsQwen: Qwen3.8 Max
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: Qwen3.8 Max: 0W
🏆OpenAI o1-mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
OpenAI o1-minivsQwen: Qwen3.8 Max
Output speed
85 tok/svs—
Time to first token
280 msvs—
OpenAI o1-mini: 2WQwen: Qwen3.8 Max: 0W
🏆OpenAI o1-mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
OpenAI o1-minivsQwen: Qwen3.8 Max
Output price
$4.4/1Mvs$6/1M+$1.6/1M
Input price
$1.1/1Mvs$2/1M+$0.9/1M
Context window
128kvs1M+872k
OpenAI o1-mini: 2WQwen: Qwen3.8 Max: 1W

Side-by-Side Benchmark Matrix

OpenAI o1-miniQwen: Qwen3.8 Max
Preference Elo
OpenAI o1-mini1,445
Qwen: Qwen3.8 Max—
Coding Elo
OpenAI o1-mini1,468
Qwen: Qwen3.8 Max—
LiveBench
OpenAI o1-mini62%
Qwen: Qwen3.8 Max—
SWE-bench
OpenAI o1-mini56.4%
Qwen: Qwen3.8 Max—
GPQA Diamond
OpenAI o1-mini76.8%
Qwen: Qwen3.8 Max—
Time to first token
OpenAI o1-mini280 ms
Qwen: Qwen3.8 Max—
Output speed
OpenAI o1-mini85 tok/s
Qwen: Qwen3.8 Max—
Input priceOpenAI o1-mini +$0.9/1M
OpenAI o1-mini$1.1/1M
Qwen: Qwen3.8 Max$2/1M
Output priceOpenAI o1-mini +$1.6/1M
OpenAI o1-mini$4.4/1M
Qwen: Qwen3.8 Max$6/1M
Context windowQwen: Qwen3.8 Max +872k
OpenAI o1-mini128k
Qwen: Qwen3.8 Max1M
BenchmarkOpenAI o1-miniQwen: Qwen3.8 MaxAdvantage 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
$2/1M
openrouter · Aug 17, 2026
+$0.9/1M
Output price
$4.4/1M
seed-bootstrap · Aug 1, 2026
$6/1M
openrouter · Aug 17, 2026
+$1.6/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
1M
openrouter · Aug 17, 2026
+872k

Workload Cost & Savings Calculator

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

Save 35% with OpenAI o1-mini
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: Qwen3.8 Max$160.00 / mo
In: $70Out: $90
Estimated Cost Delta

OpenAI o1-mini is estimated to save $55.50/month ($666/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o1-mini:Pick OpenAI o1-mini when you are optimizing output cost.
  • 2
    Qwen: Qwen3.8 Max:Pick Qwen: Qwen3.8 Max for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI o1-mini

Lower output list price ($4.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.8 Max

Larger window (1M).

Screenshots / visionQwen: Qwen3.8 Max

Qwen: Qwen3.8 Max is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI o1-miniLower output list price ($4.4/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.8 MaxLarger window (1M).
Screenshots / visionQwen: Qwen3.8 MaxQwen: Qwen3.8 Max is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M
Alibaba

Qwen: Qwen3.8 Max

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$2/1M
Output / 1M Tokens$6/1M

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Qwen: Qwen3.8 Max?
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: Qwen3.8 Max?
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?
OpenAI o1-mini output tokens are $4.4/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI o1-mini or Qwen: Qwen3.8 Max?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.8 Max 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: Qwen3.8 Max 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: Qwen3.8 Max 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