CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. OpenAI: o1 vs Qwen: Qwen3.5-27B

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

OpenAI: o1 vs Qwen: Qwen3.5-27B benchmark

In this head-to-head showdown, Qwen: Qwen3.5-27B is more budget-friendly at $1.56/1M 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 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen: Qwen3.5-27B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
OpenAI
OpenAI: o1

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

Elo 1,512$60/1M out
Alibaba
Qwen: Qwen3.5-27B

Auto-discovered from OpenRouter (qwen/qwen3.5-27b). Preview until a second source matches.

$1.56/1M out

OpenAI: o1 Thinking Depth & Cost Scaler

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.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for OpenAI: o1
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: Qwen3.5-27B

$1.56 / 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 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI: o1 (7)vsQwen: Qwen3.5-27B (3)
OpenAI: o1: 7W (70%)Overall: OpenAI: o1Qwen: Qwen3.5-27B: 3W (30%)
← OpenAI: o1Qwen: Qwen3.5-27B →
OpenAI: o1 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,512vs—
Coding Elo
1,485vs—
SWE-bench
48.9%vs—
LiveBench
65.4%vs—
GPQA Diamond
78%vs—
OpenAI: o1: 5WQwen: Qwen3.5-27B: 0W
OpenAI: o1 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
45 tok/svs—
Time to first token
420 msvs—
OpenAI: o1: 2WQwen: Qwen3.5-27B: 0W
Qwen: Qwen3.5-27B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$60/1Mvs$1.56/1M
Input price
$15/1Mvs$0.195/1M
Context window
200kvs262k
OpenAI: o1: 0WQwen: Qwen3.5-27B: 3W

Side-by-Side Benchmark Matrix

Preference Elo
OpenAI: o11,512
lmarena · Aug 17, 2026
Qwen: Qwen3.5-27B—
Coding Elo
OpenAI: o11,485
lmarena · Aug 17, 2026
Qwen: Qwen3.5-27B—
LiveBench
OpenAI: o165.4%
livebench · Aug 17, 2026
Qwen: Qwen3.5-27B—
SWE-bench
OpenAI: o148.9%
swebench · Aug 17, 2026
Qwen: Qwen3.5-27B—
GPQA Diamond
OpenAI: o178%
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.5-27B—
Time to first token
OpenAI: o1420 ms
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.5-27B—
Output speed
OpenAI: o145 tok/s
seed-bootstrap · Aug 1, 2026
Qwen: Qwen3.5-27B—
Input priceQwen: Qwen3.5-27B (+$14.81/1M)
OpenAI: o1$15/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B$0.195/1M
openrouter · Aug 17, 2026
Output priceQwen: Qwen3.5-27B (+$58.44/1M)
OpenAI: o1$60/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B$1.56/1M
openrouter · Aug 17, 2026
Context windowQwen: Qwen3.5-27B (+62k)
OpenAI: o1200k
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B262k
openrouter · Aug 17, 2026
BenchmarkOpenAI: o1Qwen: Qwen3.5-27BAdvantage Delta
Preference Elo
1,512
lmarena · Aug 17, 2026
——
Coding Elo
1,485
lmarena · Aug 17, 2026
——
LiveBench
65.4%
livebench · Aug 17, 2026
——
SWE-bench
48.9%
swebench · Aug 17, 2026
——
GPQA Diamond
78%
seed-bootstrap · Aug 1, 2026
——
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
45 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$15/1M
openrouter · Aug 17, 2026
$0.195/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B (+$14.81/1M)
Output price
$60/1M
openrouter · Aug 17, 2026
$1.56/1M
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B (+$58.44/1M)
Context window
200k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
Qwen: Qwen3.5-27B (+62k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 98% with Qwen: Qwen3.5-27B
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$1,425.00 / mo
In: $525Out: $900
Qwen: Qwen3.5-27B$30.23 / mo
In: $6.83Out: $23.4
Estimated Cost Delta

Qwen: Qwen3.5-27B is estimated to save $1,394.78/month ($16,737/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen: Qwen3.5-27B:Pick Qwen: Qwen3.5-27B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.5-27B

Lower output list price ($1.56/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5-27B

Larger window (262k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen: Qwen3.5-27BLower output list price ($1.56/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.5-27BLarger window (262k).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/o1-vs-qwen3-5-27b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

OpenAI: o1

Elo 1,512
LiveBench65.4%
SWE-bench48.9%
Speed45 tok/s
Output cost$60/1M
Alibaba

Qwen: Qwen3.5-27B

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$1.56/1M

Frequently Asked Questions

Which is better overall, OpenAI: o1 or Qwen: Qwen3.5-27B?
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 or Qwen: Qwen3.5-27B?
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: Qwen3.5-27B output tokens are $1.56/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: o1 or Qwen: Qwen3.5-27B?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.5-27B 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: o1 and Qwen: Qwen3.5-27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: o1 matchups →|All Qwen: Qwen3.5-27B matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)Qwen 3 Max vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1