The AI arena is free today

Open Superagent

DeepSeek R1 Distill Qwen 1.5B vs Jamba 1.5 Large

DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large are closely matched at -3.0 and 0.9 on the LLM Stats Score.

DeepSeek · AI21 Labs · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large are closely matched on the overall LLM Stats Score at -3.0 and 0.9.

In the 1 individual benchmarks reported for both models, Jamba 1.5 Large 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 DeepSeek R1 Distill Qwen 1.5B

  • you want the most recent training data — it shipped Jan 2025

Choose Jamba 1.5 Large

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
-3.0
#342
0.9
#322
-2.6
#332
1.0
#314
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
Jamba 1.5 Large
5.4#271
4.4#282
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 8 for Jamba 1.5 Large

1 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 1 benchmark (GPQA).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Wed Sep 16 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

396.2B diff

Jamba 1.5 Large has 396.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 22259.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
398.0B
Jamba 1.5 Large

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).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Wed Sep 16 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Jamba 1.5 Large uses Jamba Open Model License.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.

DeepSeek R1 Distill Qwen 1.5B is 5 months newer than Jamba 1.5 Large.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.7 years ago

5mo newer
Jamba 1.5 Large

Aug 22, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Distill Qwen 1.5B'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 DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

Jamba 1.5 Large

Mar 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Jamba 1.5 Large.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large are closely matched on the LLM Stats Score at -3.0 and 0.9. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Jamba 1.5 Large in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large?

Key differences include LLM Stats Score (-3.0 vs 0.9), licensing (MIT vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Jamba 1.5 Large is developed by AI21 Labs.