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DeepSeek R1 Distill Qwen 7B vs Jamba 1.5 Large

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.4 to 0.9.

DeepSeek · AI21 Labs · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.4 to 0.9, ranking #279 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 7B 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 7B

  • overall performance matters — it scores 8.4 and ranks #279 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 Jan 2025

Choose Jamba 1.5 Large

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

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
Jamba 1.5 Large
AI21 Labs
Core performance indexes
LLM Stats Score
8.4
#279
0.9
#322
Reasoning
8.7
#270
1.0
#314
Cost, coverage & limits
Benchmark wins
1 of 1
0 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 7B
Jamba 1.5 Large
Math
14.0#221
4.4#282
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 8 for Jamba 1.5 Large

1 shared

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

390.4B diff

Jamba 1.5 Large has 390.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 5123.1% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
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 7B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B 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 7B

MIT

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.

DeepSeek R1 Distill Qwen 7B is 5 months newer than Jamba 1.5 Large.

DeepSeek R1 Distill Qwen 7B

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 7B'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 7B's cutoff date.

DeepSeek R1 Distill Qwen 7B

—

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 7B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Jamba 1.5 Large.

Which is better, DeepSeek R1 Distill Qwen 7B or Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.4 to 0.9. DeepSeek R1 Distill Qwen 7B 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 7B compare to Jamba 1.5 Large in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. 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 7B and Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 7B 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 7B and Jamba 1.5 Large?

Key differences include LLM Stats Score (8.4 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 7B and Jamba 1.5 Large?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Jamba 1.5 Large is developed by AI21 Labs.

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