Model Comparison

DeepSeek R1 Distill Qwen 32B vs Jamba 1.5 Mini

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.7x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

19.2B diff

Jamba 1.5 Mini has 19.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 58.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Sat Apr 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Jamba 1.5 Mini 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 32B

MIT

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Jamba 1.5 Mini was released on 2024-08-22.

DeepSeek R1 Distill Qwen 32B is 5 months newer than Jamba 1.5 Mini.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

5mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Distill Qwen 32B'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 DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Jamba 1.5 Mini

Mar 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Jamba 1.5 Mini is available from Bedrock, Google.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (62.1% vs 32.3%)
AI21 Labs
Larger context window (256,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Jamba 1.5 Mini

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
DeepSeek R1 Distill Qwen 32B is 1.7x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 256K), input pricing ($0.12 vs $0.20/M), licensing (MIT vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Jamba 1.5 Mini is developed by AI21 Labs.