Model Comparison
DeepSeek R1 Distill Llama 70B vs Jamba 1.5 LargeWhich is better in 2026?
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 20.0x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs Jamba 1.5 Large — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and Jamba 1.5 Large (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Llama 70B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 20.0x cheaper per token
- you want the most recent training data — it shipped Jan 2025
Choose Jamba 1.5 Large if…
- you process long inputs — it offers a 256,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 20.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 20.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 327.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 463.7% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B 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.
MIT
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.
DeepSeek R1 Distill Llama 70B is 5 months newer than Jamba 1.5 Large.
Jan 20, 2025
1.4 years ago
5mo newerAug 22, 2024
1.8 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 Llama 70B'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 Llama 70B's cutoff date.
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Mar 2024
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Jamba 1.5 Large is available from Bedrock, Google.
DeepSeek R1 Distill Llama 70B
Jamba 1.5 Large
Outputs Comparison
Key Takeaways
Jamba 1.5 Large
View detailsAI21 Labs
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Jamba 1.5 Large.