GPT OSS 20B vs Qwen3-Next-80B-A3B-Thinking

GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking are closely matched at 18.0 and 23.8 on the LLM Stats Score. GPT OSS 20B is 8.5x cheaper per token.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 18.0 and 23.8.

In the 2 individual benchmarks reported for both models, Qwen3-Next-80B-A3B-Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GPT OSS 20B is roughly 8.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT OSS 20B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT OSS 20B

cost matters — it's about 8.5x cheaper per token
you process long inputs — it offers a 131,072 token context window

Choose Qwen3-Next-80B-A3B-Thinking

your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Better token value: GPT OSS 20B

GPT OSS 20B

OpenAI

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

18.0

#216 · 7 evals

23.8

#172 · 22 evals

Best

Reasoning

15.6

#222 · 5 evals

24.5

#155 · 18 evals

Best

Cost, coverage & limits

Benchmark wins

0 of 2

2 of 2

Best

Input price

$0.03 / M

Best

$0.15 / M

Output price

$0.14 / M

Best

$1.50 / M

Context window

131,072

Best

65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GPT OSS 20B

Qwen3-Next-80B-A3B-Thinking

Math

17.0#199 · 3 evals

26.5#102 · 8 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 20B · 23 for Qwen3-Next-80B-A3B-Thinking

2 shared

GPT OSS 20B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (GPQA, TAU-bench Retail).

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, GPT OSS 20B ($0.03/1M tokens) is 5.0x cheaper than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, GPT OSS 20B ($0.14/1M tokens) is 10.7x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than GPT OSS 20B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Mon Sep 21 2026 • llm-stats.com

GPT OSS 20B

Input tokens$0.03

Output tokens$0.14

Best providerDeepinfra

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

59.1B diff

Qwen3-Next-80B-A3B-Thinking has 59.1B more parameters than GPT OSS 20B, making it 282.8% larger.

GPT OSS 20B

20.9Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

20.9B

GPT OSS 20B

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

GPT OSS 20B accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. GPT OSS 20B can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

GPT OSS 20B

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 20B

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 1 month newer than GPT OSS 20B.

GPT OSS 20B

Aug 5, 2025

1.1 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

1.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT OSS 20B is available from DeepInfra, Novita, Fireworks, Groq, OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.

GPT OSS 20B

Deepinfra

Input Price:Input: $0.03/1MOutput Price:Output: $0.14/1M

Novita

Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Groq

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

GPT OSS 20B

✓ Preferred

Qwen3-Next-80B-A3B-Thinking

Open in Playground

FAQ

Common questions about GPT OSS 20B vs Qwen3-Next-80B-A3B-Thinking.

Which is better, GPT OSS 20B or Qwen3-Next-80B-A3B-Thinking?

GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking are closely matched on the LLM Stats Score at 18.0 and 23.8. GPT OSS 20B is made by OpenAI and Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT OSS 20B compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is GPT OSS 20B cheaper than Qwen3-Next-80B-A3B-Thinking?

GPT OSS 20B is 5.0x cheaper for input tokens. GPT OSS 20B costs $0.03/M input and $0.14/M output via deepinfra. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking?

GPT OSS 20B supports 131K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (18.0 vs 23.8), context window (131K vs 66K), input pricing ($0.03 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B and Qwen3-Next-80B-A3B-Thinking?

GPT OSS 20B is developed by OpenAI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

GPT OSS 20B vs Qwen3-Next-80B-A3B-Thinking