CompareLLM
CompareLLM.ai
Live
LeaderboardModelsCompareStacksBest ofGuidesNewsMethod
…
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.

  1. Home
  2. Comparisons
  3. GPT-5 vs Qwen 2.5 Coder 32B

Pairwise benchmark snapshot · Aug 16, 2026

GPT-5 vs Qwen 2.5 Coder 32B benchmark

This page compares GPT-5 (OpenAI) and Qwen 2.5 Coder 32B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5 is ahead by 133 points (1,558 vs 1,425; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-5 resolves 68.4% versus 65.2% (seed-bootstrap (Aug 1, 2026)). Qwen 2.5 Coder 32B streams faster (110 tok/s) while Qwen 2.5 Coder 32B is the cheaper output token ($0.72/1M). GPT-5 has the larger context window (400k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

GPT-5 vs Qwen 2.5 Coder 32B is a dated snapshot, not a lab score. GPT-5 leads preference Elo (1,558 vs 1,425). GPT-5 leads SWE-bench coding. Qwen 2.5 Coder 32B is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

OpenAI

GPT-5

OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.

Elo 1,558$10/1M out

Alibaba

Qwen 2.5 Coder 32B

Alibaba dedicated open-weight code generation model with near-frontier SWE-bench Verified coding capability.

Elo 1,425$0.72/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 (6)vsQwen 2.5 Coder 32B (4)
GPT-5: 6W (60%)Overall: GPT-5Qwen 2.5 Coder 32B: 4W (40%)
← GPT-5Qwen 2.5 Coder 32B →
GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,558vs1,425
Coding Elo
1,540vs1,495
SWE-bench
68.4%vs65.2%
LiveBench
69.8%vs64.8%
GPQA Diamond
85.2%vs74%
GPT-5: 5WQwen 2.5 Coder 32B: 0W
Qwen 2.5 Coder 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
78 tok/svs110 tok/s
Time to first token
290 msvs180 ms
GPT-5: 0WQwen 2.5 Coder 32B: 2W
Qwen 2.5 Coder 32B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$10/1Mvs$0.72/1M
Input price
$1.25/1Mvs$0.18/1M
Context window
400kvs131k
GPT-5: 1WQwen 2.5 Coder 32B: 2W
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 AdvantageGPT-5 4/6
Preference Elo

GPT-5

133 pts advantage

Throughput Speed

Qwen 2.5 Coder 32B

32 tok/s faster

Price Efficiency

Qwen 2.5 Coder 32B

$9.28/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
+9%1,558
EloHigh is better
1,425
Code Elo
High is better
+3%1,540
Code EloHigh is better
1,495
LiveBench
High is better
+8%69.8%
LiveBenchHigh is better
64.8%
SWE-bench
High is better
+5%68.4%
SWE-benchHigh is better
65.2%
GPQA
High is better
+15%85.2%
GPQAHigh is better
74%
TTFT
Low is better
290 ms
TTFTLow is better
180 ms+61%
Speed
High is better
78 tok/s
SpeedHigh is better
110 tok/s+41%
In $
Low is better
$1.25/1M
In $Low is better
$0.18/1M+594%
Out $
Low is better
$10/1M
Out $Low is better
$0.72/1M+1289%
Context
High is better
+205%400k
ContextHigh is better
131k
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 91% with Qwen 2.5 Coder 32B
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
GPT-5$193.75 / mo
In: $43.75Out: $150.00
Qwen 2.5 Coder 32B$17.10 / mo
In: $6.30Out: $10.80
Estimated Cost Delta

Qwen 2.5 Coder 32B is estimated to save $176.65/month ($2,120/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5:Pick GPT-5 when repo-level coding accuracy is the constraint.
  • 2
    Qwen 2.5 Coder 32B:Pick Qwen 2.5 Coder 32B when you are optimizing output cost.
  • 3
    Qwen 2.5 Coder 32B:Pick Qwen 2.5 Coder 32B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-5

Higher SWE-bench (68.4%).

High-volume chatQwen 2.5 Coder 32B

Lower output list price ($0.72/1M).

Voice / low-latency UIQwen 2.5 Coder 32B

Lower TTFT (180 ms).

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5Higher SWE-bench (68.4%).
High-volume chatQwen 2.5 Coder 32BLower output list price ($0.72/1M).
Voice / low-latency UIQwen 2.5 Coder 32BLower TTFT (180 ms).
Long-document RAGGPT-5Larger window (400k).
Screenshots / visionGPT-5GPT-5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Still a common compare target. 5.6 Sol replaced it as the buy; GPT-5 stays for old URLs.

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-vs-qwen-2-5-coder-32b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

GPT-5

Elo 1,558
LiveBench69.8%
SWE-bench68.4%
Speed78 tok/s
Output cost$10/1M
Alibaba

Qwen 2.5 Coder 32B

Elo 1,425
LiveBench64.8%
SWE-bench65.2%
Speed110 tok/s
Output cost$0.72/1M

Frequently Asked Questions

Which is better overall, GPT-5 or Qwen 2.5 Coder 32B?
GPT-5 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-5 or Qwen 2.5 Coder 32B?
GPT-5 leads SWE-bench at 68.4% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Qwen 2.5 Coder 32B output tokens are $0.72/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5 or Qwen 2.5 Coder 32B?
Qwen 2.5 Coder 32B has the lower time-to-first-token (180 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GPT-5 accepts 400k tokens versus 131k.
Can I self-host either model?
Qwen 2.5 Coder 32B 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. GPT-5 and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 (2025) remains the legacy OpenAI flagship baseline

Similar Head-to-Head Comparisons

All GPT-5 matchups →|All Qwen 2.5 Coder 32B matchups →
GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)GPT-5.6 Terra vs GPT-5Qwen 3 Max vs GPT-5