Hermes 3 70B vs Jamba 1.5 Large
Hermes 3 70B and Jamba 1.5 Large are closely matched at 3.8 and 1.1 on the LLM Stats Score. Hermes 3 70B is 5.7x cheaper per token.
Nous Research · AI21 Labs · Updated for 2026
Which is better?
Hermes 3 70B and Jamba 1.5 Large are closely matched on the overall LLM Stats Score at 3.8 and 1.1.
In the 5 individual benchmarks reported for both models, Jamba 1.5 Large wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Hermes 3 70B is roughly 5.7x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hermes 3 70B
- cost matters — it's about 5.7x cheaper per token
Choose Jamba 1.5 Large
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Aug 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Hermes 3 70B · 8 for Jamba 1.5 Large
Hermes 3 70B outperforms in 2 benchmarks (GPQA, TruthfulQA), while Jamba 1.5 Large is better at 3 benchmarks (ARC-C, MMLU, MMLU-Pro).
Jamba 1.5 Large has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hermes 3 70B ($0.35/1M tokens) is 5.7x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Hermes 3 70B ($1.40/1M tokens) is 5.7x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Hermes 3 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 328.0B more parameters than Hermes 3 70B, making it 468.6% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Hermes 3 70B's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Hermes 3 70B is limited to 16,384 tokens.
License
Usage and distribution terms
Hermes 3 70B is licensed under Apache 2.0, 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.
Apache 2.0
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Hermes 3 70B was released on 2024-08-15, while Jamba 1.5 Large was released on 2024-08-22.
Jamba 1.5 Large is 0 month newer than Hermes 3 70B.
Aug 15, 2024
2.1 years ago
Aug 22, 2024
2.0 years ago
1w newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Hermes 3 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 Hermes 3 70B's cutoff date.
—
Mar 2024
Provider Availability
Hermes 3 70B is available from DeepInfra. Jamba 1.5 Large is available from Bedrock, Google.
Hermes 3 70B
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Hermes 3 70B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hermes 3 70B vs Jamba 1.5 Large.