Model Comparison

DeepSeek-V3 vs Jamba 1.5 MiniWhich is better in 2026?

DeepSeek-V3 significantly outperforms across most benchmarks. Jamba 1.5 Mini is 1.9x cheaper per token.

Verdict: DeepSeek-V3 vs Jamba 1.5 Mini — which is better?

DeepSeek-V3 (by DeepSeek) and Jamba 1.5 Mini (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-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks. DeepSeek-V3 significantly outperforms across most benchmarks.

On price, Jamba 1.5 Mini is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024

Choose Jamba 1.5 Mini if…

  • cost matters — it's about 1.9x cheaper per token
  • you process long inputs — it offers a 256,144 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.4x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.8x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
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

619.0B diff

DeepSeek-V3 has 619.0B more parameters than Jamba 1.5 Mini, making it 1190.4% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
671.0B
DeepSeek-V3
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-V3's 131,072 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Jamba 1.5 Mini was released on 2024-08-22.

DeepSeek-V3 is 4 months newer than Jamba 1.5 Mini.

DeepSeek-V3

Dec 25, 2024

1.5 years ago

4mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while DeepSeek-V3'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-V3's cutoff date.

DeepSeek-V3

—

Jamba 1.5 Mini

Mar 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Jamba 1.5 Mini is available from Bedrock, Google.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher GPQA score (59.1% vs 32.3%)
Higher MMLU score (88.5% vs 69.7%)
Higher MMLU-Pro score (75.9% vs 42.5%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about DeepSeek-V3 vs Jamba 1.5 Mini.

Which is better, DeepSeek-V3 or Jamba 1.5 Mini?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 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.

How does DeepSeek-V3 compare to Jamba 1.5 Mini in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is DeepSeek-V3 cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 1.4x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for DeepSeek-V3 and Jamba 1.5 Mini?

DeepSeek-V3 supports 131K 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.

What are the main differences between DeepSeek-V3 and Jamba 1.5 Mini?

Key differences include context window (131K vs 256K), input pricing ($0.27 vs $0.20/M), licensing (MIT + Model License (Commercial use allowed) vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Jamba 1.5 Mini?

DeepSeek-V3 is developed by DeepSeek and Jamba 1.5 Mini is developed by AI21 Labs.

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