Model Comparison

Qwen3-Coder vs Qwen3-Next-80B-A3B-Thinking

Comparing Qwen3-Coder and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3-Coder and Qwen3-Next-80B-A3B-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, Qwen3-Coder ($0.18/1M tokens) is 1.2x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Qwen3-Coder ($0.18/1M tokens) is 8.3x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

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

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

Lowest available price from all providers

Sat May 02 2026 • llm-stats.com

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

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

400.0B diff

Qwen3-Coder has 400.0B more parameters than Qwen3-Next-80B-A3B-Thinking, making it 500.0% larger.

Qwen3-Coder

480.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

480.0B

Qwen3-Coder

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sat May 02 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-Coder

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Coder was released on 2025-01-01, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 8 months newer than Qwen3-Coder.

Qwen3-Coder

Jan 1, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

7 months ago

8mo 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

Qwen3-Coder is available from DeepInfra, Fireworks. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Qwen3-Coder

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

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→

Key Takeaways

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Less expensive output tokens

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3-Coder	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Qwen3-Coder vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Qwen3-Coder or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Coder (Alibaba Cloud / Qwen Team) and Qwen3-Next-80B-A3B-Thinking (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-Coder compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

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 Qwen3-Coder cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 1.2x cheaper for input tokens. Qwen3-Coder costs $0.18/M input and $0.18/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 Qwen3-Coder and Qwen3-Next-80B-A3B-Thinking?

Qwen3-Coder supports 256K 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 Qwen3-Coder and Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (256K vs 66K), input pricing ($0.18 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.