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Jamba 1.5 Large vs Nemotron Labs Dory 1.0 (4B)

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 0.6.

AI21 Labs · NVIDIA · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 0.6, ranking #202 overall.

In the 1 individual benchmarks reported for both models, Nemotron Labs Dory 1.0 (4B) wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Jamba 1.5 Large

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose Nemotron Labs Dory 1.0 (4B)

  • overall performance matters — it scores 22.1 and ranks #202 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 Oct 2026

At a glance

The differences that matter most.

Jamba 1.5 Large
AI21 Labs
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
0.6
#346
22.1
#202
Reasoning
0.7
#338
19.8
#213
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Jamba 1.5 Large
Nemotron Labs Dory 1.0 (4B)
Math
4.3#294
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Jamba 1.5 Large · 10 for Nemotron Labs Dory 1.0 (4B)

1 shared

Jamba 1.5 Large outperforms in 0 benchmarks, while Nemotron Labs Dory 1.0 (4B) is better at 1 benchmark (GPQA).

Nemotron Labs Dory 1.0 (4B) significantly outperforms across most benchmarks.

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

394.0B diff

Jamba 1.5 Large has 394.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 9850.0% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
398.0B
Jamba 1.5 Large
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Nemotron Labs Dory 1.0 (4B) uses OpenMDW License v1.1.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 26 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

2.2 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

2.2yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Nemotron Labs Dory 1.0 (4B)'s cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Nemotron Labs Dory 1.0 (4B)'s cutoff date.

Jamba 1.5 Large

Mar 2024

Nemotron Labs Dory 1.0 (4B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Jamba 1.5 Large vs Nemotron Labs Dory 1.0 (4B).

Which is better, Jamba 1.5 Large or Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 0.6. Jamba 1.5 Large is made by AI21 Labs and Nemotron Labs Dory 1.0 (4B) 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 Large compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Nemotron Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for Jamba 1.5 Large and Nemotron Labs Dory 1.0 (4B)?

Jamba 1.5 Large supports 256K tokens and Nemotron Labs Dory 1.0 (4B) supports an unknown number of 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 Large and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (0.6 vs 22.1), 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 Large and Nemotron Labs Dory 1.0 (4B)?

Jamba 1.5 Large is developed by AI21 Labs and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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