Model Comparison

Mistral Large 3 vs Qwen2.5 7B Instruct

Mistral Large 3 significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 9.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Mistral Large 3 outperforms in 3 benchmarks (Arena Hard, MATH, MMLU-Redux), while Qwen2.5 7B Instruct is better at 0 benchmarks.

Mistral Large 3 significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 6.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 16.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
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Model Size

Parameter count comparison

667.4B diff

Mistral Large 3 has 667.4B more parameters than Qwen2.5 7B Instruct, making it 8769.9% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
675.0B
Mistral Large 3
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Mistral Large 3's 128,000 tokens. Both models can generate responses up to 8,192 tokens.

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Mistral Large 3

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen2.5 7B Instruct was released on 2024-09-19.

Mistral Large 3 is 12 months newer than Qwen2.5 7B Instruct.

Mistral Large 3

Sep 1, 2025

7 months ago

11mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

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

Mistral Large 3 is available from Mistral AI. Qwen2.5 7B Instruct is available from Together.

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Higher Arena Hard score (55.1% vs 52.0%)
Higher MATH score (90.4% vs 75.5%)
Higher MMLU-Redux score (82.0% vs 75.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Mistral Large 3 vs Qwen2.5 7B Instruct

Mistral Large 3 significantly outperforms across most benchmarks. Mistral Large 3 is made by Mistral AI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Qwen2.5 7B Instruct is 6.7x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Mistral Large 3 supports 128K tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($2.00 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.