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

OpenAI: gpt-oss-20b vs Qwen2.5 Coder 32B Instruct benchmark

Name: OpenAI: gpt-oss-20b vs Qwen2.5 Coder 32B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, OpenAI: gpt-oss-20b is more budget-friendly at $0.13/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

OpenAI: gpt-oss-20b holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

Qwen2.5 Coder 32B InstructTop code solve rate

ReasoningGPQA / Live

Qwen2.5 Coder 32B InstructTop logical accuracy

Best Value$/1M Tok

OpenAI: gpt-oss-20bLowest API billing cost

Speed / TokTok/Sec

OpenAI: gpt-oss-20bFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

OpenAI: gpt-oss-20b (3)Qwen2.5 Coder 32B Instruct (0)

OpenAI: gpt-oss-20b

3 of 3 Wins

✓Input price✓Output price✓Context window

Qwen2.5 Coder 32B Instruct

0 of 3 Wins

Competitive baseline across remaining benchmarks

OpenAI

Leads 3 of 3

OpenAI: gpt-oss-20b

Auto-discovered from OpenRouter (openai/gpt-oss-20b). Preview until a second source matches.

In: $0.03 · Out: $0.13/1M

Alibaba

Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

Elo 1,425In: $0.66 · Out: $1/1M

Top Rival Showdowns for OpenAI: gpt-oss-20b

All Matchups

Compare vs:vs Claude Opus 4.5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderOpenAI: gpt-oss-20b Wins

OpenAI: gpt-oss-20b

$0.13 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

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

OpenAI: gpt-oss-20b (3)vsQwen2.5 Coder 32B Instruct (4)

OpenAI: gpt-oss-20b: 3W (43%)Qwen2.5 Coder 32B Instruct: 4W (57%)

← OpenAI: gpt-oss-20bQwen2.5 Coder 32B Instruct →

🏆Qwen2.5 Coder 32B Instruct Leads(4/5)

Intelligence & Reasoning

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

Benchmark

OpenAI: gpt-oss-20bvsQwen2.5 Coder 32B Instruct

Preference Elo

—vs1,425

Coding Elo

—vs1,495

SWE-bench

—vs65.2%

LiveBench

—vs64.8%

GPQA Diamond

—vs—

OpenAI: gpt-oss-20b: 0WQwen2.5 Coder 32B Instruct: 4W

Tied (0-0)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

OpenAI: gpt-oss-20bvsQwen2.5 Coder 32B Instruct

Output speed

—vs—

Time to first token

—vs—

OpenAI: gpt-oss-20b: 0WQwen2.5 Coder 32B Instruct: 0W

🏆OpenAI: gpt-oss-20b Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

OpenAI: gpt-oss-20bvsQwen2.5 Coder 32B Instruct

Output price

$0.13/1Mvs$1/1M+$0.87/1M

Input price

$0.03/1Mvs$0.66/1M+$0.63/1M

Context window

131kvs33k+98k

OpenAI: gpt-oss-20b: 3WQwen2.5 Coder 32B Instruct: 0W

Side-by-Side Benchmark Matrix

OpenAI: gpt-oss-20bQwen2.5 Coder 32B Instruct

Preference Elo

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct1,425

Coding Elo

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct1,495

LiveBench

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct64.8%

SWE-bench

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct65.2%

Input priceOpenAI: gpt-oss-20b +$0.63/1M

OpenAI: gpt-oss-20b$0.03/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

Output priceOpenAI: gpt-oss-20b +$0.87/1M

OpenAI: gpt-oss-20b$0.13/1M

Qwen2.5 Coder 32B Instruct$1/1M

Context windowOpenAI: gpt-oss-20b +98k

OpenAI: gpt-oss-20b131k

Qwen2.5 Coder 32B Instruct33k

Benchmark	OpenAI: gpt-oss-20b	Qwen2.5 Coder 32B Instruct	Advantage Delta
Preference Elo	—	1,425 lmarena · Aug 17, 2026	—
Coding Elo	—	1,495 lmarena · Aug 17, 2026	—
LiveBench	—	64.8% livebench · Aug 17, 2026	—
SWE-bench	—	65.2% swebench · Aug 17, 2026	—
Input price	$0.03/1M openrouter · Aug 17, 2026	$0.66/1M openrouter · Aug 17, 2026	+$0.63/1M
Output price	$0.13/1M openrouter · Aug 17, 2026	$1/1M openrouter · Aug 17, 2026	+$0.87/1M
Context window	131k openrouter · Aug 17, 2026	33k openrouter · Aug 17, 2026	+98k

Workload Cost & Savings Calculator

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

Save 92% with OpenAI: gpt-oss-20b

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-oss-20b$3.00 / mo

In: $1.05Out: $1.95

Qwen2.5 Coder 32B Instruct$38.10 / mo

In: $23.1Out: $15

Estimated Cost Delta

OpenAI: gpt-oss-20b is estimated to save $35.10/month ($421/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: gpt-oss-20b:Pick OpenAI: gpt-oss-20b when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: gpt-oss-20b

Lower output list price ($0.13/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: gpt-oss-20b

Larger window (131k).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: gpt-oss-20b	Lower output list price ($0.13/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: gpt-oss-20b	Larger window (131k).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

OpenAI: gpt-oss-20b

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.03/1M

Output / 1M Tokens$0.13/1M

Alibaba

Qwen2.5 Coder 32B Instruct

Elo 1,425

SWE-bench65.2%

Speed (tok/s)33k

Input / 1M Tokens$0.66/1M

Output / 1M Tokens$1/1M

Frequently Asked Questions

Which is better overall, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B 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, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B 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?: OpenAI: gpt-oss-20b output tokens are $0.13/1M versus $1/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B Instruct?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: gpt-oss-20b accepts 131k tokens versus 33k.
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: gpt-oss-20b and Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: gpt-oss-20b matchups →|All Qwen2.5 Coder 32B Instruct matchups →

Qwen2.5 Coder 32B Instruct vs Qwen 2.5 Plus (next qwen)GPT-5 vs Qwen2.5 Coder 32B Instruct Qwen 3 Max vs Qwen2.5 Coder 32B Instruct GPT-4.5 Orion vs Qwen2.5 Coder 32B Instruct GPT-5.6 Sol vs Qwen2.5 Coder 32B Instruct GPT-5.6 Terra vs Qwen2.5 Coder 32B Instruct

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

OpenAI: gpt-oss-20bQwen2.5 Coder 32B Instruct

Preference Elo

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct1,425

Coding Elo

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct1,495

LiveBench

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct64.8%

SWE-bench

OpenAI: gpt-oss-20b—

Qwen2.5 Coder 32B Instruct65.2%

Input priceOpenAI: gpt-oss-20b +$0.63/1M

OpenAI: gpt-oss-20b$0.03/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

Output priceOpenAI: gpt-oss-20b +$0.87/1M

OpenAI: gpt-oss-20b$0.13/1M

Qwen2.5 Coder 32B Instruct$1/1M

Context windowOpenAI: gpt-oss-20b +98k

OpenAI: gpt-oss-20b131k

Qwen2.5 Coder 32B Instruct33k

Benchmark

OpenAI: gpt-oss-20b

Qwen2.5 Coder 32B Instruct

Advantage Delta

Preference Elo

—

1,425

lmarena · Aug 17, 2026

—

Coding Elo

—

1,495

lmarena · Aug 17, 2026

—

LiveBench

—

64.8%

livebench · Aug 17, 2026

—

SWE-bench

—

65.2%

swebench · Aug 17, 2026

—

Input price

$0.03/1M

openrouter · Aug 17, 2026

$0.66/1M

openrouter · Aug 17, 2026

+$0.63/1M

Output price

$0.13/1M

openrouter · Aug 17, 2026

$1/1M

openrouter · Aug 17, 2026

+$0.87/1M

Context window

131k

openrouter · Aug 17, 2026

33k

openrouter · Aug 17, 2026

+98k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: gpt-oss-20b

Lower output list price ($0.13/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: gpt-oss-20b

Larger window (131k).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: gpt-oss-20b	Lower output list price ($0.13/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: gpt-oss-20b	Larger window (131k).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Frequently Asked Questions

Which is better overall, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B 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, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B 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?

OpenAI: gpt-oss-20b output tokens are $0.13/1M versus $1/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenAI: gpt-oss-20b or Qwen2.5 Coder 32B Instruct?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: gpt-oss-20b accepts 131k tokens versus 33k.

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: gpt-oss-20b and Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.