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Gemini 1.5 Pro vs Qwen2.5-Coder 7B Instruct

Gemini 1.5 Pro leads the LLM Stats Score 12.2 to -2.9.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 1.5 Pro leads the overall LLM Stats Score 12.2 to -2.9, ranking #243 overall.

In the 6 individual benchmarks reported for both models, Gemini 1.5 Pro wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 1.5 Pro

  • overall performance matters — it scores 12.2 and ranks #243 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results

Choose Qwen2.5-Coder 7B Instruct

  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
12.2
#243
-2.9
#330
Reasoning
12.0
#236
-2.9
#321
Coding
4.4
#200
6.6
#180
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.5 Pro
Qwen2.5-Coder 7B Instruct
Math
17.1#190
-1.9#299
Finance
17.0#104
-5.5#208
Legal
17.0#90
-6.8#193
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 19 for Qwen2.5-Coder 7B Instruct

6 shared

Gemini 1.5 Pro outperforms in 5 benchmarks (GSM8k, HellaSwag, MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 7B Instruct is better at 1 benchmark (HumanEval).

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Pro supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

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

Gemini 1.5 Pro

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 5 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.3 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Qwen2.5-Coder 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Qwen2.5-Coder 7B Instruct.

Which is better, Gemini 1.5 Pro or Qwen2.5-Coder 7B Instruct?

Gemini 1.5 Pro leads the LLM Stats Score 12.2 to -2.9. Gemini 1.5 Pro is made by Google and Qwen2.5-Coder 7B Instruct 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 1.5 Pro compare to Qwen2.5-Coder 7B Instruct in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for Gemini 1.5 Pro and Qwen2.5-Coder 7B Instruct?

Gemini 1.5 Pro supports 2.1M tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (12.2 vs -2.9), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Qwen2.5-Coder 7B Instruct?

Gemini 1.5 Pro is developed by Google and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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