Mistral NeMo Instruct vs Qwen3 VL 8B Instruct
Qwen3 VL 8B Instruct leads the LLM Stats Score 13.9 to -4.8. Mistral NeMo Instruct is 8.5x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 8B Instruct leads the overall LLM Stats Score 13.9 to -4.8, ranking #243 overall.
In the 1 individual benchmarks reported for both models, Qwen3 VL 8B Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 8.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral NeMo Instruct
- cost matters — it's about 8.5x cheaper per token
Choose Qwen3 VL 8B Instruct
- overall performance matters — it scores 13.9 and ranks #243 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Mistral NeMo Instruct · 46 for Qwen3 VL 8B Instruct
Mistral NeMo Instruct outperforms in 0 benchmarks, while Qwen3 VL 8B Instruct is better at 1 benchmark (MMLU).
Qwen3 VL 8B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral NeMo Instruct ($0.02/1M tokens) is 4.2x cheaper than Qwen3 VL 8B Instruct ($0.08/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 16.7x cheaper than Qwen3 VL 8B Instruct ($0.50/1M tokens).
In conclusion, Qwen3 VL 8B Instruct is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral NeMo Instruct has 3.0B more parameters than Qwen3 VL 8B Instruct, making it 33.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 8B Instruct supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral NeMo Instruct
Qwen3 VL 8B 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 8B Instruct was released on 2025-09-22.
Qwen3 VL 8B Instruct is 14 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.2 years ago
Sep 22, 2025
1.0 years 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 DeepInfra, Google, Mistral AI. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.
Mistral NeMo Instruct
Qwen3 VL 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Qwen3 VL 8B Instruct.