Model Comparison

Jamba 1.5 Mini vs LongCat-Flash-Lite

LongCat-Flash-Lite significantly outperforms across most benchmarks. LongCat-Flash-Lite is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

LongCat-Flash-Lite significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 2.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) costs the same as LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than LongCat-Flash-Lite.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

16.5B diff

LongCat-Flash-Lite has 16.5B more parameters than Jamba 1.5 Mini, making it 31.7% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
52.0B
Jamba 1.5 Mini
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while LongCat-Flash-Lite uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Mini

Jamba Open Model License

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 18 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

LongCat-Flash-Lite

Feb 5, 2026

2 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while LongCat-Flash-Lite'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 LongCat-Flash-Lite's cutoff date.

Jamba 1.5 Mini

Mar 2024

LongCat-Flash-Lite

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. LongCat-Flash-Lite is available from Meituan.

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

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Meituan
Less expensive input tokens
Higher GPQA score (66.8% vs 32.3%)
Higher MMLU score (85.5% vs 69.7%)
Higher MMLU-Pro score (78.3% vs 42.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Meituan
LongCat-Flash-Lite

FAQ

Common questions about Jamba 1.5 Mini vs LongCat-Flash-Lite

LongCat-Flash-Lite significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.
LongCat-Flash-Lite is 2.0x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.
Jamba 1.5 Mini supports 256K tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 256K), input pricing ($0.20 vs $0.10/M), licensing (Jamba Open Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and LongCat-Flash-Lite is developed by Meituan.