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Codestral-22B vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -0.3.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -0.3, ranking #108 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

Choose Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
-0.3
#350
35.0
#108
Reasoning
-0.4
#343
36.2
#94
Coding
2.4
#248
21.0
#108
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.20 / M
Output price
— / M
$1.00 / M
Context window
—
262,144

Individual benchmarks

7 reported for Codestral-22B · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

Codestral-22B and Nemotron 3.5 Super VL (120B A12B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

97.8B diff

Nemotron 3.5 Super VL (120B A12B) has 97.8B more parameters than Codestral-22B, making it 440.5% larger.

Mistral AI
Codestral-22B
22.2Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
22.2B
Codestral-22B
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Only Nemotron 3.5 Super VL (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Codestral-22B does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 29 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

2.4yr 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Codestral-22B and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Codestral-22B vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Codestral-22B or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -0.3. Codestral-22B is made by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

What are the context window sizes for Codestral-22B and Nemotron 3.5 Super VL (120B A12B)?

Codestral-22B supports an unknown number of tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (-0.3 vs 35.0), multimodal support (no vs yes), licensing (MNPL-0.1 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Nemotron 3.5 Super VL (120B A12B)?

Codestral-22B is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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