Jamba VS Codestral Mamba

Let’s have a side-by-side comparison of Jamba vs Codestral Mamba to find out which one is better. This software comparison between Jamba and Codestral Mamba is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Jamba or Codestral Mamba fits your business.

Jamba

Jamba
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Debuting the first production-grade Mamba-based model delivering best-in-class quality and performance.

Codestral Mamba

Codestral Mamba
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Codestral Mamba is a language model focused on code generation released by the Mistral AI team, which is based on the Mamba2 architecture and has the advantages of linear time inference and the ability to model theoretically infinite sequences.

Jamba

Launched 2014-3
Pricing Model
Starting Price
Tech used Google Analytics,Google Tag Manager,Webflow,Amazon AWS CloudFront,JSDelivr,Google Fonts,jQuery,Splide,Gzip,OpenGraph,HSTS
Tag Language Learning,Translator

Codestral Mamba

Launched 2019-05
Pricing Model Free
Starting Price
Tech used Cloudflare CDN,Next.js,Vercel,Gzip,HTTP/3,OpenGraph,Webpack,HSTS,Apple App Banner
Tag Code Generation,Developer Tools

Jamba Rank/Visit

Global Rank 298069
Country United States
Month Visit 131565

Top 5 Countries

15.41%
8.35%
5%
3.87%
3.66%
United States India Vietnam Israel Nigeria

Traffic Sources

3.12%
0.95%
0.11%
10.01%
48.23%
37.5%
social paidReferrals mail referrals search direct

Codestral Mamba Rank/Visit

Global Rank 11060
Country France
Month Visit 6307339

Top 5 Countries

33.24%
8.87%
6.72%
4.94%
4.06%
France Russia Germany United States India

Traffic Sources

1.31%
0.24%
0.1%
3.3%
34.45%
60.6%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Jamba and Codestral Mamba, you can also consider the following products

Jamba 1.5 Open Model Family - Jamba 1.5 Open Model Family, launched by AI21, based on SSM-Transformer architecture, with long text processing ability, high speed and quality, is the best among similar products in the market and suitable for enterprise-level users dealing with large data and long texts.

ktransformers - KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

SambaNova - SambaNova's cloud AI development platform offers high-speed inference, cloud resources, AI Starter Kits, and the SN40L RDU. Empower your AI projects with ease and efficiency.

Megatron-LM - Ongoing research training transformer models at scale

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