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Every score has a dated snapshot.

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  3. OpenAI: o3 Mini vs Qwen: Qwen3 235B A22B Thinking 2507

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

OpenAI: o3 Mini vs Qwen: Qwen3 235B A22B Thinking 2507 benchmark

In this head-to-head showdown, Qwen: Qwen3 235B A22B Thinking 2507 is more budget-friendly at $2.3/1M 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: o3 Mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen: Qwen3 235B A22B Thinking 2507 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Qwen: Qwen3 235B A22B Thinking 2507 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o3 MiniTop code solve rate
ReasoningGPQA / Live
OpenAI: o3 MiniTop logical accuracy
Best Value$/1M Tok
Qwen: Qwen3 235B A22B Thinking 2507Lowest API billing cost
Speed / TokTok/Sec
OpenAI: o3 MiniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

OpenAI: o3 Mini (0)Qwen: Qwen3 235B A22B Thinking 2507 (3)
OpenAI: o3 Mini
0 of 3 Wins
Competitive baseline across remaining benchmarks
Qwen: Qwen3 235B A22B Thinking 2507
3 of 3 Wins
✓Input price✓Output price✓Context window
OpenAI
OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

o3-miniElo 1,560In: $1.1 · Out: $4.4/1M
Alibaba
Leads 3 of 3
Qwen: Qwen3 235B A22B Thinking 2507

Auto-discovered from OpenRouter (qwen/qwen3-235b-a22b-thinking-2507). Preview until a second source matches.

In: $0.23 · Out: $2.3/1M

OpenAI o-Series Lineage & Sibling Variants

2 models

Currently comparing OpenAI: o3 Mini vs Qwen: Qwen3 235B A22B Thinking 2507. Alternative family tiers available.

Active: OpenAI: o3 Mini
OpenAI: o1$60

OpenAI: o3 Mini Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
290 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$8.47
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for OpenAI: o3 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 235B A22B Thinking 2507 Wins

Qwen: Qwen3 235B A22B Thinking 2507

$2.3 / 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: o3 Mini (7)vsQwen: Qwen3 235B A22B Thinking 2507 (3)
OpenAI: o3 Mini: 7W (70%)Overall: OpenAI: o3 MiniQwen: Qwen3 235B A22B Thinking 2507: 3W (30%)
← OpenAI: o3 MiniQwen: Qwen3 235B A22B Thinking 2507 →
🏆OpenAI: o3 Mini Leads(5/5)

Intelligence & Reasoning

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

Benchmark
OpenAI: o3 MinivsQwen: Qwen3 235B A22B Thinking 2507
Preference Elo
1,560vs—
Coding Elo
1,585vs—
SWE-bench
78.5%vs—
LiveBench
72.4%vs—
GPQA Diamond
87.2%vs—
OpenAI: o3 Mini: 5WQwen: Qwen3 235B A22B Thinking 2507: 0W
🏆OpenAI: o3 Mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
OpenAI: o3 MinivsQwen: Qwen3 235B A22B Thinking 2507
Output speed
92 tok/svs—
Time to first token
290 msvs—
OpenAI: o3 Mini: 2WQwen: Qwen3 235B A22B Thinking 2507: 0W
🏆Qwen: Qwen3 235B A22B Thinking 2507 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
OpenAI: o3 MinivsQwen: Qwen3 235B A22B Thinking 2507
Output price
$4.4/1Mvs$2.3/1M+$2.1/1M
Input price
$1.1/1Mvs$0.23/1M+$0.87/1M
Context window
200kvs262k+62k
OpenAI: o3 Mini: 0WQwen: Qwen3 235B A22B Thinking 2507: 3W

Side-by-Side Benchmark Matrix

OpenAI: o3 MiniQwen: Qwen3 235B A22B Thinking 2507
Preference Elo
OpenAI: o3 Mini1,560
Qwen: Qwen3 235B A22B Thinking 2507—
Coding Elo
OpenAI: o3 Mini1,585
Qwen: Qwen3 235B A22B Thinking 2507—
LiveBench
OpenAI: o3 Mini72.4%
Qwen: Qwen3 235B A22B Thinking 2507—
SWE-bench
OpenAI: o3 Mini78.5%
Qwen: Qwen3 235B A22B Thinking 2507—
GPQA Diamond
OpenAI: o3 Mini87.2%
Qwen: Qwen3 235B A22B Thinking 2507—
Time to first token
OpenAI: o3 Mini290 ms
Qwen: Qwen3 235B A22B Thinking 2507—
Output speed
OpenAI: o3 Mini92 tok/s
Qwen: Qwen3 235B A22B Thinking 2507—
Input priceQwen: Qwen3 235B A22B Thinking 2507 +$0.87/1M
OpenAI: o3 Mini$1.1/1M
Qwen: Qwen3 235B A22B Thinking 2507$0.23/1M
Output priceQwen: Qwen3 235B A22B Thinking 2507 +$2.1/1M
OpenAI: o3 Mini$4.4/1M
Qwen: Qwen3 235B A22B Thinking 2507$2.3/1M
Context windowQwen: Qwen3 235B A22B Thinking 2507 +62k
OpenAI: o3 Mini200k
Qwen: Qwen3 235B A22B Thinking 2507262k
BenchmarkOpenAI: o3 MiniQwen: Qwen3 235B A22B Thinking 2507Advantage Delta
Preference Elo
1,560
lmarena · Aug 17, 2026
——
Coding Elo
1,585
lmarena · Aug 17, 2026
——
LiveBench
72.4%
livebench · Aug 17, 2026
——
SWE-bench
78.5%
swebench · Aug 17, 2026
——
GPQA Diamond
87.2%
seed-bootstrap · Aug 1, 2026
——
Time to first token
290 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
92 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.1/1M
openrouter · Aug 17, 2026
$0.23/1M
openrouter · Aug 17, 2026
+$0.87/1M
Output price
$4.4/1M
openrouter · Aug 17, 2026
$2.3/1M
openrouter · Aug 17, 2026
+$2.1/1M
Context window
200k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
+62k

Workload Cost & Savings Calculator

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

Save 59% with Qwen: Qwen3 235B A22B Thinking 2507
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
OpenAI: o3 Mini$104.50 / mo
In: $38.5Out: $66
Qwen: Qwen3 235B A22B Thinking 2507$42.55 / mo
In: $8.05Out: $34.5
Estimated Cost Delta

Qwen: Qwen3 235B A22B Thinking 2507 is estimated to save $61.95/month ($743/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen: Qwen3 235B A22B Thinking 2507:Pick Qwen: Qwen3 235B A22B Thinking 2507 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 235B A22B Thinking 2507

Lower output list price ($2.3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 235B A22B Thinking 2507

Larger window (262k).

Screenshots / visionQwen: Qwen3 235B A22B Thinking 2507

Qwen: Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507Lower output list price ($2.3/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3 235B A22B Thinking 2507Larger window (262k).
Screenshots / visionQwen: Qwen3 235B A22B Thinking 2507Qwen: Qwen3 235B A22B Thinking 2507 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

OpenAI: o3 Mini

Elo 1,560
SWE-bench78.5%
Speed (tok/s)92 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M
Alibaba

Qwen: Qwen3 235B A22B Thinking 2507

Elo n/a
SWE-bench—
Speed (tok/s)262k
Input / 1M Tokens$0.23/1M
Output / 1M Tokens$2.3/1M

Frequently Asked Questions

Which is better overall, OpenAI: o3 Mini or Qwen: Qwen3 235B A22B Thinking 2507?
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: o3 Mini or Qwen: Qwen3 235B A22B Thinking 2507?
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 235B A22B Thinking 2507 output tokens are $2.3/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: o3 Mini or Qwen: Qwen3 235B A22B Thinking 2507?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3 235B A22B Thinking 2507 accepts 262k tokens versus 200k.
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: o3 Mini and Qwen: Qwen3 235B A22B Thinking 2507 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: o3 Mini matchups →|All Qwen: Qwen3 235B A22B Thinking 2507 matchups →
OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 MiniGPT-5.6 Terra vs OpenAI: o3 MiniGPT-4.5 Orion vs OpenAI: o3 MiniQwen 3 Max vs OpenAI: o3 Mini