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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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  2. Comparisons
  3. OpenAI: o1 (batch) vs Qwen 2.5 Plus

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

OpenAI: o1 (batch) vs Qwen 2.5 Plus benchmark

In this head-to-head showdown, Qwen 2.5 Plus is more budget-friendly at $1/1M 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 (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen 2.5 Plus if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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OpenAI
OpenAI: o1 (batch)

Auto-discovered from OpenRouter (openai/o1:batch). Preview until a second source matches.

$30/1M out
Alibaba
Qwen 2.5 Plus

Alibaba balanced flagship API model with high-throughput general reasoning.

Elo 1,445$1/1M out
Top Rival Showdowns for OpenAI: o1 (batch)
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 2.5 Plus

$1 / 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 AdvantageQwen 2.5 Plus 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI: o1 (batch) (1)vsQwen 2.5 Plus (9)
OpenAI: o1 (batch): 1W (10%)Overall: Qwen 2.5 PlusQwen 2.5 Plus: 9W (90%)
← OpenAI: o1 (batch)Qwen 2.5 Plus →
Qwen 2.5 Plus (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,445
Coding Elo
—vs1,460
SWE-bench
—vs59.2%
LiveBench
—vs63.5%
GPQA Diamond
—vs75.8%
OpenAI: o1 (batch): 0WQwen 2.5 Plus: 5W
Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs110 tok/s
Time to first token
—vs180 ms
OpenAI: o1 (batch): 0WQwen 2.5 Plus: 2W
Qwen 2.5 Plus (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$30/1Mvs$1/1M
Input price
$7.5/1Mvs$0.25/1M
Context window
200kvs128k
OpenAI: o1 (batch): 1WQwen 2.5 Plus: 2W

Side-by-Side Benchmark Matrix

Preference Elo
OpenAI: o1 (batch)—
Qwen 2.5 Plus1,445
lmarena · Aug 17, 2026
Coding Elo
OpenAI: o1 (batch)—
Qwen 2.5 Plus1,460
lmarena · Aug 17, 2026
LiveBench
OpenAI: o1 (batch)—
Qwen 2.5 Plus63.5%
livebench · Aug 17, 2026
SWE-bench
OpenAI: o1 (batch)—
Qwen 2.5 Plus59.2%
swebench · Aug 17, 2026
GPQA Diamond
OpenAI: o1 (batch)—
Qwen 2.5 Plus75.8%
seed-bootstrap · Aug 1, 2026
Time to first token
OpenAI: o1 (batch)—
Qwen 2.5 Plus180 ms
seed-bootstrap · Aug 1, 2026
Output speed
OpenAI: o1 (batch)—
Qwen 2.5 Plus110 tok/s
seed-bootstrap · Aug 1, 2026
Input priceQwen 2.5 Plus (+$7.25/1M)
OpenAI: o1 (batch)$7.5/1M
openrouter · Aug 17, 2026
Qwen 2.5 Plus$0.25/1M
seed-bootstrap · Aug 1, 2026
Output priceQwen 2.5 Plus (+$29/1M)
OpenAI: o1 (batch)$30/1M
openrouter · Aug 17, 2026
Qwen 2.5 Plus$1/1M
seed-bootstrap · Aug 1, 2026
Context windowOpenAI: o1 (batch) (+72k)
OpenAI: o1 (batch)200k
openrouter · Aug 17, 2026
Qwen 2.5 Plus128k
seed-bootstrap · Aug 1, 2026
BenchmarkOpenAI: o1 (batch)Qwen 2.5 PlusAdvantage Delta
Preference Elo—
1,445
lmarena · Aug 17, 2026
—
Coding Elo—
1,460
lmarena · Aug 17, 2026
—
LiveBench—
63.5%
livebench · Aug 17, 2026
—
SWE-bench—
59.2%
swebench · Aug 17, 2026
—
GPQA Diamond—
75.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
180 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
110 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$7.5/1M
openrouter · Aug 17, 2026
$0.25/1M
seed-bootstrap · Aug 1, 2026
Qwen 2.5 Plus (+$7.25/1M)
Output price
$30/1M
openrouter · Aug 17, 2026
$1/1M
seed-bootstrap · Aug 1, 2026
Qwen 2.5 Plus (+$29/1M)
Context window
200k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
OpenAI: o1 (batch) (+72k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 97% with Qwen 2.5 Plus
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 (batch)$712.50 / mo
In: $262.5Out: $450
Qwen 2.5 Plus$23.75 / mo
In: $8.75Out: $15
Estimated Cost Delta

Qwen 2.5 Plus is estimated to save $688.75/month ($8,265/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen 2.5 Plus:Pick Qwen 2.5 Plus when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen 2.5 Plus

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o1 (batch)

Larger window (200k).

Screenshots / visionQwen 2.5 Plus

Qwen 2.5 Plus is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen 2.5 PlusLower output list price ($1/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: o1 (batch)Larger window (200k).
Screenshots / visionQwen 2.5 PlusQwen 2.5 Plus is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

OpenAI: o1 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$30/1M
Alibaba

Qwen 2.5 Plus

Elo 1,445
LiveBench63.5%
SWE-bench59.2%
Speed110 tok/s
Output cost$1/1M

Frequently Asked Questions

Which is better overall, OpenAI: o1 (batch) or Qwen 2.5 Plus?
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 (batch) or Qwen 2.5 Plus?
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 2.5 Plus output tokens are $1/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: o1 (batch) or Qwen 2.5 Plus?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: o1 (batch) accepts 200k 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 (batch) and Qwen 2.5 Plus Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: o1 (batch) matchups →|All Qwen 2.5 Plus matchups →
Qwen 2.5 Plus vs Qwen2.5 Coder 32B Instruct (previous qwen)Qwen 2.5 Plus vs Qwen 2.5 Coder 32B (next qwen)GPT-5 vs Qwen 2.5 PlusQwen 3 Max vs Qwen 2.5 PlusGPT-4.5 Orion vs Qwen 2.5 PlusGPT-5.6 Sol vs Qwen 2.5 Plus