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Jamba 1.5 Mini vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -6.0. Jamba 1.5 Mini is 1.6x cheaper per token.

AI21 Labs · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -6.0, ranking #108 overall.

In the 1 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Jamba 1.5 Mini is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Jamba 1.5 Mini

  • cost matters — it's about 1.6x cheaper per token

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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Jamba 1.5 Mini
AI21 Labs
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
-6.0
#383
35.0
#108
Reasoning
-5.9
#374
36.2
#94
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
$0.20 / M
Output price
$0.40 / M
$1.00 / M
Context window
256,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Jamba 1.5 Mini
Nemotron 3.5 Super VL (120B A12B)
Math
-4.0#327
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Jamba 1.5 Mini · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Jamba 1.5 Mini outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 1 benchmark (GPQA).

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) costs the same as Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.5x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

68.0B diff

Nemotron 3.5 Super VL (120B A12B) has 68.0B more parameters than Jamba 1.5 Mini, making it 130.8% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
52.0B
Jamba 1.5 Mini
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 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 Jamba 1.5 Mini 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.

Jamba 1.5 Mini

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, 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.

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 26 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

2.2 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

5 days ago

2.1yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

Jamba 1.5 Mini

Mar 2024

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Jamba 1.5 Mini vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Jamba 1.5 Mini or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -6.0. Jamba 1.5 Mini is made by AI21 Labs 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 Jamba 1.5 Mini compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. 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%.

Is Jamba 1.5 Mini cheaper than Nemotron 3.5 Super VL (120B A12B)?

Both models cost $0.20 per million input tokens.

What are the context window sizes for Jamba 1.5 Mini and Nemotron 3.5 Super VL (120B A12B)?

Jamba 1.5 Mini supports 256K 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 Jamba 1.5 Mini and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (-6.0 vs 35.0), context window (256K vs 262K), multimodal support (no vs yes), licensing (Jamba Open Model License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Nemotron 3.5 Super VL (120B A12B)?

Jamba 1.5 Mini is developed by AI21 Labs and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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