Model Comparison

Qwen3-235B-A22B-Instruct-2507 vs Qwen3-Next-80B-A3B-BaseWhich is better in 2026?

Comparing Qwen3-235B-A22B-Instruct-2507 and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

Verdict: Qwen3-235B-A22B-Instruct-2507 vs Qwen3-Next-80B-A3B-Base — which is better?

Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) and Qwen3-Next-80B-A3B-Base (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Qwen3-235B-A22B-Instruct-2507 if…

  • you want predictable pricing at $0.15/M input and $0.80/M output

Choose Qwen3-Next-80B-A3B-Base if…

  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3-235B-A22B-Instruct-2507 and Qwen3-Next-80B-A3B-Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

155.0B diff

Qwen3-235B-A22B-Instruct-2507 has 155.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 193.8% larger.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
235.0B
Qwen3-235B-A22B-Instruct-2507
80.0B
Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Tue Jul 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.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

Qwen3-Next-80B-A3B-Base is 2 months newer than Qwen3-235B-A22B-Instruct-2507.

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

12 months ago

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

10 months 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3-235B-A22B-Instruct-2507 and Qwen3-Next-80B-A3B-Base side-by-side, then vote on the output you prefer.

Qwen3-235B-A22B-Instruct-2507
✓ Preferred
Qwen3-Next-80B-A3B-Base
Open in Playground

FAQ

Common questions about Qwen3-235B-A22B-Instruct-2507 vs Qwen3-Next-80B-A3B-Base.

Which is better, Qwen3-235B-A22B-Instruct-2507 or Qwen3-Next-80B-A3B-Base?

Qwen3-235B-A22B-Instruct-2507 (Alibaba Cloud / Qwen Team) and Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Qwen3-235B-A22B-Instruct-2507 compare to Qwen3-Next-80B-A3B-Base in benchmarks?

Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Qwen3-235B-A22B-Instruct-2507 and Qwen3-Next-80B-A3B-Base?

Qwen3-235B-A22B-Instruct-2507 supports 262K tokens and Qwen3-Next-80B-A3B-Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.