Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

GPT-5 vs Qwen: Qwen3 Coder 30B A3B Instruct benchmark

Name: GPT-5 vs Qwen: Qwen3 Coder 30B A3B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-5 (OpenAI) and Qwen: Qwen3 Coder 30B A3B Instruct (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen: Qwen3 Coder 30B A3B Instruct wins on output price at $0.28/1M. 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.

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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: Qwen3 Coder 30B A3B Instruct

Auto-discovered from OpenRouter (qwen/qwen3-coder-30b-a3b-instruct). Preview until a second source matches.

$0.28/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 (8)vsQwen: Qwen3 Coder 30B A3B Instruct (2)

GPT-5: 8W (80%)Overall: GPT-5Qwen: Qwen3 Coder 30B A3B Instruct: 2W (20%)

← GPT-5Qwen: Qwen3 Coder 30B A3B Instruct →

GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,558vs—

Coding Elo

1,540vs—

SWE-bench

68.4%vs—

LiveBench

69.8%vs—

GPQA Diamond

85.2%vs—

GPT-5: 5WQwen: Qwen3 Coder 30B A3B Instruct: 0W

GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

78 tok/svs—

Time to first token

290 msvs—

GPT-5: 2WQwen: Qwen3 Coder 30B A3B Instruct: 0W

Qwen: Qwen3 Coder 30B A3B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.28/1M

Input price

$1.25/1Mvs$0.07/1M

Context window

400kvs262k

GPT-5: 1WQwen: Qwen3 Coder 30B A3B Instruct: 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 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3 Coder 30B A3B Instruct

$9.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,558

EloHigh is better

—

Code Elo

High is better

1,540

Code EloHigh is better

—

LiveBench

High is better

69.8%

LiveBenchHigh is better

—

SWE-bench

High is better

68.4%

SWE-benchHigh is better

—

GPQA

High is better

85.2%

GPQAHigh is better

—

TTFT

Low is better

290 ms

TTFTLow is better

—

Speed

High is better

78 tok/s

SpeedHigh is better

—

In $

Low is better

$1.25/1M

In $Low is better

$0.07/1M+1686%

Out $

Low is better

$10/1M

Out $Low is better

$0.28/1M+3471%

Context

High is better

+53%400k

ContextHigh is better

262k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 97% with Qwen: Qwen3 Coder 30B A3B Instruct

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: Qwen3 Coder 30B A3B Instruct$6.65 / mo

In: $2.45Out: $4.20

Estimated Cost Delta

Qwen: Qwen3 Coder 30B A3B Instruct is estimated to save $187.10/month ($2,245/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 Coder 30B A3B Instruct:Pick Qwen: Qwen3 Coder 30B A3B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 Coder 30B A3B Instruct

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 Coder 30B A3B Instruct	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-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

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CompareLLM Matrix

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LIVE

OpenAI

GPT-5

Elo 1,558

LiveBench69.8%

SWE-bench68.4%

Speed78 tok/s

Output cost$10/1M

Alibaba

Qwen: Qwen3 Coder 30B A3B Instruct

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.28/1M

Frequently Asked Questions

Which is better overall, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?: 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, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?: 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 Coder 30B A3B Instruct output tokens are $0.28/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?: We do not have TTFT for both models.
Which has the larger context window?: GPT-5 accepts 400k tokens versus 262k.
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. GPT-5 and Qwen: Qwen3 Coder 30B A3B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-5 matchups →|All Qwen: Qwen3 Coder 30B A3B Instruct matchups →

GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)GPT-5.6 Terra vs GPT-5 Qwen 3 Max vs GPT-5 Qwen QwQ 32B vs GPT-5 OpenAI: o3 Mini vs GPT-5

GPT-5 vs Qwen: Qwen3 Coder 30B A3B Instruct benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 (8)vsQwen: Qwen3 Coder 30B A3B Instruct (2)

GPT-5: 8W (80%)Overall: GPT-5Qwen: Qwen3 Coder 30B A3B Instruct: 2W (20%)

← GPT-5Qwen: Qwen3 Coder 30B A3B Instruct →

GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,558vs—

Coding Elo

1,540vs—

SWE-bench

68.4%vs—

LiveBench

69.8%vs—

GPQA Diamond

85.2%vs—

GPT-5: 5WQwen: Qwen3 Coder 30B A3B Instruct: 0W

GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

78 tok/svs—

Time to first token

290 msvs—

GPT-5: 2WQwen: Qwen3 Coder 30B A3B Instruct: 0W

Qwen: Qwen3 Coder 30B A3B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.28/1M

Input price

$1.25/1Mvs$0.07/1M

Context window

400kvs262k

GPT-5: 1WQwen: Qwen3 Coder 30B A3B Instruct: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 Coder 30B A3B Instruct

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 Coder 30B A3B Instruct	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?

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, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?

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 Coder 30B A3B Instruct output tokens are $0.28/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-5 or Qwen: Qwen3 Coder 30B A3B Instruct?

We do not have TTFT for both models.

Which has the larger context window?

GPT-5 accepts 400k tokens versus 262k.

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. GPT-5 and Qwen: Qwen3 Coder 30B A3B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Qwen: Qwen3 Coder 30B A3B Instruct

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GPT-5

Qwen: Qwen3 Coder 30B A3B Instruct

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Qwen: Qwen3 Coder 30B A3B Instruct

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-5

Qwen: Qwen3 Coder 30B A3B Instruct

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons