Model Comparison

Jamba 1.5 Large vs Mercury 2

Mercury 2 significantly outperforms across most benchmarks. Mercury 2 is 9.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Mercury 2 is better at 1 benchmark (GPQA).

Mercury 2 significantly outperforms across most benchmarks.

Sun Apr 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mercury 2 costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 8.0x more expensive than Mercury 2 ($0.25/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 10.7x more expensive than Mercury 2 ($0.75/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Mercury 2.*

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

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Mercury 2's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Mercury 2 is limited to 8,192 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Sun Apr 19 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mercury 2 uses a proprietary license.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Mercury 2

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mercury 2 was released on 2026-02-24.

Mercury 2 is 18 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Mercury 2

Feb 24, 2026

1 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mercury 2'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 Mercury 2's cutoff date.

Jamba 1.5 Large

Mar 2024

Mercury 2

—

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Mercury 2 is available from Inception.

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

Mercury 2

inception logo
Inception
Input Price:Input: $0.25/1MOutput Price:Output: $0.75/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Has open weights
Inception
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (74.0% vs 36.9%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Inception
Mercury 2

FAQ

Common questions about Jamba 1.5 Large vs Mercury 2

Mercury 2 significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mercury 2 is made by Inception. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%.
Mercury 2 is 8.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Mercury 2 costs $0.25/M input and $0.75/M output via inception.
Jamba 1.5 Large supports 256K tokens and Mercury 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 128K), input pricing ($2.00 vs $0.25/M), licensing (Jamba Open Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and Mercury 2 is developed by Inception.