Model Comparison

Mistral NeMo Instruct vs Pixtral-12B

Pixtral-12B significantly outperforms across most benchmarks. Mistral NeMo Instruct and Pixtral-12B cost the same.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral NeMo Instruct outperforms in 0 benchmarks, while Pixtral-12B is better at 1 benchmark (MMLU).

Pixtral-12B significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Mistral NeMo Instruct ($0.15/1M tokens) costs the same as Pixtral-12B ($0.15/1M tokens).

For output processing, Mistral NeMo Instruct ($0.15/1M tokens) costs the same as Pixtral-12B ($0.15/1M tokens).

In conclusion, Mistral NeMo Instruct and Pixtral-12B cost the same.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
Mistral AI
Mistral NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

400.0M diff

Pixtral-12B has 0.4B more parameters than Mistral NeMo Instruct, making it 3.3% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
12.0B
Mistral NeMo Instruct
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 128,000 tokens, while Pixtral-12B is limited to 8,192 tokens.

Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas Mistral NeMo Instruct does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral NeMo Instruct

Text
Images
Audio
Video

Pixtral-12B

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 NeMo Instruct

Apache 2.0

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 2 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

1.8 years ago

Pixtral-12B

Sep 17, 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. Pixtral-12B is available from Mistral AI.

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Mistral AI
Supports multimodal inputs
Higher MMLU score (69.2% vs 68.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral NeMo Instruct
Mistral AI
Pixtral-12B

FAQ

Common questions about Mistral NeMo Instruct vs Pixtral-12B

Pixtral-12B significantly outperforms across most benchmarks. Mistral NeMo Instruct is made by Mistral AI and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Both models cost $0.15 per million input tokens.
Mistral NeMo Instruct supports 128K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.