Granite 3.1 8B vs Phi-3.5 Medium
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Granite 3.1 8B specs · Phi-3.5 Medium specs- PriceTie
Neither model publishes per-token API pricing.
- Context windowTie
Both ship a 128K-token context window.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesTie
Both handle text.
- OpennessTie
Both ship open weights, self-host either one.
It's a genuine coin-flip between Granite 3.1 8B and Phi-3.5 Medium: 0 category wins each, with the rest tied. Neither model publishes per-token API pricing. Both ship a 128K-token context window.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.
Granite 3.1 8B is the newer of the two, released 4 months after Phi-3.5 Medium, which usually means a more recent knowledge cutoff and updated safety post-training. Granite 3.1 8B is usually picked for enterprise llm and commercial use llm workloads, while Phi-3.5 Medium sees more deployments in on device and edge deployment. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Granite 3.1 8B | Phi-3.5 Medium |
|---|---|---|
| Provider | Other | Microsoft |
| Released | Dec 2024 | Aug 2024 |
| Modalities | text | text |
| Context window | 128K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (Apache-2.0) | Yes (MIT) |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day, vs ,
- Heavy usage, 1M in / 500k out per day, vs ,
- RAG workload, 5M in / 200k out per day, vs ,
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Granite 3.1 8BPricing unavailable
- Phi-3.5 MediumPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU,78.9
Granite 3.1 8B fits when…
- Apache-2.0
- Enterprise-friendly
- IP-clean training
Phi-3.5 Medium fits when…
- MIT license
- 128k context
- Strong reasoning at 14B
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is Granite 3.1 8B or Phi-3.5 Medium cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
Both Granite 3.1 8B and Phi-3.5 Medium ship a 128K-token context window.Is Granite 3.1 8B or Phi-3.5 Medium better for coding?
Both Granite 3.1 8B and Phi-3.5 Medium are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
Both ship with open weights. Granite 3.1 8B is licensed under Apache-2.0; Phi-3.5 Medium under MIT.When were Granite 3.1 8B and Phi-3.5 Medium released?
Granite 3.1 8B was released by Other on 2024-12-18. Phi-3.5 Medium was released by Microsoft on 2024-08-20.
The week's AI launches, in your inbox.
One short email every Friday, new models, leaks, and quietly-shipped APIs you missed.