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Gemini 2.5 Pro Preview 06-05 vs Qwen3-Next-80B-A3B-Thinking

Gemini 2.5 Pro Preview 06-05 leads the LLM Stats Score 29.9 to 23.9. Qwen3-Next-80B-A3B-Thinking is 7.1x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.5 Pro Preview 06-05 leads the overall LLM Stats Score 29.9 to 23.9, ranking #116 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.5 Pro Preview 06-05 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-Next-80B-A3B-Thinking is roughly 7.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro Preview 06-05 also accepts a larger context window (1,048,576 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 Gemini 2.5 Pro Preview 06-05

  • overall performance matters — it scores 29.9 and ranks #116 on LLM Stats
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window

Choose Qwen3-Next-80B-A3B-Thinking

  • cost matters — it's about 7.1x cheaper per token
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.5 Pro Preview 06-05
Google
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
29.9
#116
23.9
#162
Reasoning
28.3
#120
24.7
#144
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.25 / M
$0.15 / M
Output price
$10.00 / M
$1.50 / M
Context window
1,048,576
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.5 Pro Preview 06-05
Qwen3-Next-80B-A3B-Thinking
Math
22.2#134
26.8#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.5 Pro Preview 06-05 · 23 for Qwen3-Next-80B-A3B-Thinking

2 shared

Gemini 2.5 Pro Preview 06-05 outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens) is 8.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens) is 6.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than Qwen3-Next-80B-A3B-Thinking.*

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

Lowest available price from all providers
Sat Sep 05 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Qwen3-Next-80B-A3B-Thinking can generate longer responses up to 65,536 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 3 months newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

12 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while Qwen3-Next-80B-A3B-Thinking's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Thinking's cutoff date.

Gemini 2.5 Pro Preview 06-05

Jan 2025

Qwen3-Next-80B-A3B-Thinking

—

Provider Availability

Gemini 2.5 Pro Preview 06-05 is available from Google. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Gemini 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3-Next-80B-A3B-Thinking

novita logo
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 Gemini 2.5 Pro Preview 06-05 and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro Preview 06-05
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Gemini 2.5 Pro Preview 06-05 or Qwen3-Next-80B-A3B-Thinking?

Gemini 2.5 Pro Preview 06-05 leads the LLM Stats Score 29.9 to 23.9. Gemini 2.5 Pro Preview 06-05 is made by Google 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 Gemini 2.5 Pro Preview 06-05 compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. 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 Gemini 2.5 Pro Preview 06-05 cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 8.3x cheaper for input tokens. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Gemini 2.5 Pro Preview 06-05 and Qwen3-Next-80B-A3B-Thinking?

Gemini 2.5 Pro Preview 06-05 supports 1.0M 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 Gemini 2.5 Pro Preview 06-05 and Qwen3-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (29.9 vs 23.9), context window (1.0M vs 66K), input pricing ($1.25 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro Preview 06-05 and Qwen3-Next-80B-A3B-Thinking?

Gemini 2.5 Pro Preview 06-05 is developed by Google and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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