Model Comparison

Mistral NeMo Instruct vs Qwen2.5 7B Instruct

Comparing Mistral NeMo Instruct and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral NeMo Instruct and Qwen2.5 7B Instruct 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

Mistral NeMo Instruct costs less

For input processing, Mistral NeMo Instruct ($0.15/1M tokens) is 2.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Mistral NeMo Instruct ($0.15/1M tokens) is 2.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than Mistral NeMo 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 NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

4.4B diff

Mistral NeMo Instruct has 4.4B more parameters than Qwen2.5 7B Instruct, making it 57.7% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
12.0B
Mistral NeMo Instruct
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 NeMo Instruct's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 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.

Mistral NeMo Instruct

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 2 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

1.8 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

2mo 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

Mistral NeMo Instruct is available from Google, Mistral AI. Qwen2.5 7B Instruct is available from Together.

Mistral NeMo Instruct

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M

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

Mistral AI
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Detailed Comparison

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

FAQ

Common questions about Mistral NeMo Instruct vs Qwen2.5 7B Instruct

Mistral NeMo Instruct (Mistral AI) and Qwen2.5 7B Instruct (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.
Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Mistral NeMo Instruct is 2.0x cheaper for input tokens. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Mistral NeMo Instruct 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 ($0.15 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
Mistral NeMo Instruct is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.