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: GPT-5.2 vs Qwen3.8 27B

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

OpenAI: GPT-5.2 vs Qwen3.8 27B benchmark

In this head-to-head showdown, Qwen3.8 27B is more budget-friendly at $3.2/1M 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: GPT-5.2 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Qwen3.8 27B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
OpenAI
OpenAI: GPT-5.2

Auto-discovered from OpenRouter (openai/gpt-5.2). Preview until a second source matches.

$14/1M out
Alibaba
Qwen3.8 27B

Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.

27B DenseElo 1,398$3.1999999999999997/1M out
Top Rival Showdowns for OpenAI: GPT-5.2
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

Qwen3.8 27B

$3.1999999999999997 / 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 AdvantageQwen3.8 27B 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

OpenAI: GPT-5.2 (1)vsQwen3.8 27B (9)
OpenAI: GPT-5.2: 1W (10%)Overall: Qwen3.8 27BQwen3.8 27B: 9W (90%)
← OpenAI: GPT-5.2Qwen3.8 27B →
Qwen3.8 27B (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,398
Coding Elo
—vs1,422
SWE-bench
—vs58.8%
LiveBench
—vs60.6%
GPQA Diamond
—vs73.4%
OpenAI: GPT-5.2: 0WQwen3.8 27B: 5W
Qwen3.8 27B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs152 tok/s
Time to first token
—vs140 ms
OpenAI: GPT-5.2: 0WQwen3.8 27B: 2W
Qwen3.8 27B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$14/1Mvs$3.2/1M
Input price
$1.75/1Mvs$0.45/1M
Context window
400kvs262k
OpenAI: GPT-5.2: 1WQwen3.8 27B: 2W

Side-by-Side Benchmark Matrix

Preference Elo
OpenAI: GPT-5.2—
Qwen3.8 27B1,398
lmarena · Aug 16, 2026
Coding Elo
OpenAI: GPT-5.2—
Qwen3.8 27B1,422
lmarena · Aug 16, 2026
LiveBench
OpenAI: GPT-5.2—
Qwen3.8 27B60.6%
livebench · Aug 16, 2026
SWE-bench
OpenAI: GPT-5.2—
Qwen3.8 27B58.8%
swebench · Aug 16, 2026
GPQA Diamond
OpenAI: GPT-5.2—
Qwen3.8 27B73.4%
seed-bootstrap · Aug 16, 2026
Time to first token
OpenAI: GPT-5.2—
Qwen3.8 27B140 ms
seed-bootstrap · Aug 16, 2026
Output speed
OpenAI: GPT-5.2—
Qwen3.8 27B152 tok/s
seed-bootstrap · Aug 16, 2026
Input priceQwen3.8 27B (+$1.3/1M)
OpenAI: GPT-5.2$1.75/1M
openrouter · Aug 17, 2026
Qwen3.8 27B$0.45/1M
openrouter · Aug 17, 2026
Output priceQwen3.8 27B (+$10.8/1M)
OpenAI: GPT-5.2$14/1M
openrouter · Aug 17, 2026
Qwen3.8 27B$3.2/1M
openrouter · Aug 17, 2026
Context windowOpenAI: GPT-5.2 (+138k)
OpenAI: GPT-5.2400k
openrouter · Aug 17, 2026
Qwen3.8 27B262k
openrouter · Aug 17, 2026
BenchmarkOpenAI: GPT-5.2Qwen3.8 27BAdvantage Delta
Preference Elo—
1,398
lmarena · Aug 16, 2026
—
Coding Elo—
1,422
lmarena · Aug 16, 2026
—
LiveBench—
60.6%
livebench · Aug 16, 2026
—
SWE-bench—
58.8%
swebench · Aug 16, 2026
—
GPQA Diamond—
73.4%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
140 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
152 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$1.75/1M
openrouter · Aug 17, 2026
$0.45/1M
openrouter · Aug 17, 2026
Qwen3.8 27B (+$1.3/1M)
Output price
$14/1M
openrouter · Aug 17, 2026
$3.2/1M
openrouter · Aug 17, 2026
Qwen3.8 27B (+$10.8/1M)
Context window
400k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
OpenAI: GPT-5.2 (+138k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 76% with Qwen3.8 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: GPT-5.2$271.25 / mo
In: $61.25Out: $210
Qwen3.8 27B$63.75 / mo
In: $15.75Out: $48
Estimated Cost Delta

Qwen3.8 27B is estimated to save $207.50/month ($2,490/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen3.8 27B:Pick Qwen3.8 27B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen3.8 27B

Lower output list price ($3.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.2

Larger window (400k).

Screenshots / visionQwen3.8 27B

Qwen3.8 27B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen3.8 27BLower output list price ($3.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: GPT-5.2Larger window (400k).
Screenshots / visionQwen3.8 27BQwen3.8 27B is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 14, 2026

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.

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/gpt-5-2-vs-qwen-3-8-27b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

OpenAI: GPT-5.2

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$14/1M
Alibaba

Qwen3.8 27B

Elo 1,398
LiveBench60.6%
SWE-bench58.8%
Speed152 tok/s
Output cost$3.2/1M

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5.2 or Qwen3.8 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: GPT-5.2 or Qwen3.8 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?
Qwen3.8 27B output tokens are $3.2/1M versus $14/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: GPT-5.2 or Qwen3.8 27B?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: GPT-5.2 accepts 400k tokens versus 262k.
Can I self-host either model?
Qwen3.8 27B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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: GPT-5.2 and Qwen3.8 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 14, 2026

    Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Similar Head-to-Head Comparisons

All OpenAI: GPT-5.2 matchups →|All Qwen3.8 27B matchups →
GPT-5 vs Qwen3.8 27BQwen 3 Max vs Qwen3.8 27BQwen QwQ 32B vs Qwen3.8 27BGPT-4.5 Orion vs Qwen3.8 27BGPT-5.6 Sol vs Qwen3.8 27BGPT-5.6 Terra vs Qwen3.8 27B