HUMAIN ALLaM 34B

ALLaM 34B by HUMAIN excels in the Coding category, where it ranks #295 with a composite score of 40/100. Flagship Arabic-first model from HUMAIN and SDAIA, served exclusively through the HUMAIN Chat consumer product at chat.humain.ai. Weights are not publicly released and there is no public API. Positioned as the largest model in the ALLaM lineage and the successor to the 13B Instruct tier published with the 2024 arXiv paper. Launched alongside HUMAIN Chat on 2025-08-25. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

ALLaM 34B is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, ALLaM 34B holds rank #295 out of 6 models tracked. Its quality rank is #295 and adoption rank is #295. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

ALLaM 34B has been evaluated across 5 different signals. Its strongest areas include Capabilities (17/100), Pricing (100/100), Context Window (57/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

ALLaM 34B is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.

ALLaM 34B supports a 4K token context window (4,096 tokens total). That translates to roughly 3,072 words in a single prompt. Best suited for shorter prompts and focused tasks where you do not need to load massive context.

ALLaM 34B can generate up to 4K output tokens (4,096 tokens) per response. That is roughly 3,072 words. Sufficient for typical conversations, code snippets, and summaries.

ALLaM 34B supports streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

ALLaM 34B was developed by HUMAIN. It was released on August 25, 2025. You can access it through HUMAIN's API. Check our provider page for all models from HUMAIN and how they compare against each other.

Pick ALLaM 34B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access ALLaM 34B through HUMAIN's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.