Model Comparison

DeepSeek R1 Distill Llama 70B vs Jamba 1.5 Large

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 20.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

327.4B diff

Jamba 1.5 Large has 327.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 463.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
398.0B
Jamba 1.5 Large

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.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri Apr 10 2026 • llm-stats.com

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.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Jamba 1.5 Large

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.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

5mo newer
Jamba 1.5 Large

Aug 22, 2024

1.6 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.

DeepSeek R1 Distill Llama 70B

—

Jamba 1.5 Large

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

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* 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 (65.2% vs 36.9%)
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Jamba 1.5 Large

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
DeepSeek R1 Distill Llama 70B is 20.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
DeepSeek R1 Distill Llama 70B supports 128K 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.
Key differences include context window (128K vs 256K), input pricing ($0.10 vs $2.00/M), licensing (MIT vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Jamba 1.5 Large is developed by AI21 Labs.