Mistral Large 4 vs Nemotron 3.5 Super VL (120B A12B): Specs & Benchmark Comparison

Mistral Large 4 is developed by Mistral AI, while Nemotron 3.5 Super VL (120B A12B) comes from NVIDIA. Both were released in October 2026. Mistral Large 4 is the larger model at roughly 1.1 trillion parameters, against 120 billion for Nemotron 3.5 Super VL (120B A12B).

We have 18 benchmark results for Mistral Large 4 and 19 benchmark results for Nemotron 3.5 Super VL (120B A12B), but they overlap on a single test: SciCode, where Mistral Large 4 scores 91.8% against 47.1%.

Nemotron 3.5 Super VL (120B A12B) is the cheaper API at $0.20 per million input tokens and $1 per million output tokens, roughly 3 times cheaper than Mistral Large 4 at $0.68 and $2.09. Mistral Large 4 takes the larger context window at 1M tokens, compared with 262K for Nemotron 3.5 Super VL (120B A12B). Mistral Large 4 accepts text and images as input, while Nemotron 3.5 Super VL (120B A12B) accepts text, images, and video.

CharacteristicMistral Large 4Nemotron 3.5 Super VL (120B A12B)
CompanyMistral AINVIDIA
Release DateOctober 6, 2026October 15, 2026
Parameters1.1T120B
MultimodalYesYes
Context (input)1.0M262K
Context (output)—262K
Input Price / 1M$0.68$0.20
Output Price / 1M$2.09$1.00
Average Score60.4%60.9%
Benchmarks
SciCode91.8%47.1%

Visual Benchmark Comparison

Mistral Large 4
Nemotron 3.5 Super VL (120B A12B)
SciCode0.9 vs 0.5
0.9
0.5

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: Mistral Large 4 — 0.6, Nemotron 3.5 Super VL (120B A12B) — 0.6.

API Cost

Nemotron 3.5 Super VL (120B A12B) is 2.3x cheaper: input $0.20/1M vs $0.68/1M tokens.

Context Window

Mistral Large 4 supports a larger context: 1M vs 262K tokens.

Recency

Both models were released around the same time: 10/6/2026 and 10/15/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — Mistral Large 4 or Nemotron 3.5 Super VL (120B A12B)?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Mistral Large 4 or Nemotron 3.5 Super VL (120B A12B)?
Nemotron 3.5 Super VL (120B A12B) is cheaper for input: $0.20 per 1M tokens vs $0.68.
Which has a larger context window — Mistral Large 4 or Nemotron 3.5 Super VL (120B A12B)?
Mistral Large 4 supports a larger context: 1,048,576 tokens vs 262,144.

The Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B) comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Mistral Large 4 or Nemotron 3.5 Super VL (120B A12B) page. See also the complete list of AI model comparisons.