Model Comparison
Mistral NeMo Instruct vs Qwen3 VL 30B A3B InstructWhich is better in 2026?
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Mistral NeMo Instruct is 2.2x cheaper per token.
Verdict: Mistral NeMo Instruct vs Qwen3 VL 30B A3B Instruct — which is better?
Mistral NeMo Instruct (by Mistral AI) and Qwen3 VL 30B A3B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Mistral NeMo Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
On price, Mistral NeMo Instruct is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 30B A3B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Mistral NeMo Instruct if…
- cost matters — it's about 2.2x cheaper per token
Choose Qwen3 VL 30B A3B Instruct if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Mistral NeMo Instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (MMLU).
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral NeMo Instruct ($0.15/1M tokens) is 1.3x cheaper than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).
For output processing, Mistral NeMo Instruct ($0.15/1M tokens) is 4.7x cheaper than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).
In conclusion, Qwen3 VL 30B A3B Instruct is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 VL 30B A3B Instruct has 19.0B more parameters than Mistral NeMo Instruct, making it 158.3% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 30B A3B 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 Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral NeMo Instruct
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral NeMo Instruct was released on 2024-07-18, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 14 months newer than Mistral NeMo Instruct.
Jul 18, 2024
1.9 years ago
Sep 22, 2025
8 months ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral NeMo Instruct is available from Google, Mistral AI. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.
Mistral NeMo Instruct
Qwen3 VL 30B A3B Instruct
Outputs Comparison
Key Takeaways
Mistral NeMo Instruct
View detailsMistral AI
Qwen3 VL 30B A3B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral NeMo Instruct vs Qwen3 VL 30B A3B Instruct.