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Together AI ranks top open-source models by use case

By PulseAugur Editorial · [1 sources] ·

Together AI has released a comparative analysis of top open-source AI models, categorizing them by their performance across various use cases. The analysis highlights models like Kimi K3, DeepSeek V4 Pro, and Qwen3.8 2.4T A95B for their strengths in areas such as chat, reasoning, coding agents, and vision capabilities. The report also identifies models suitable for smaller, faster deployments and specific tasks like function calling and speech-to-text, featuring options like GPT OSS 20B and NVIDIA Nemotron 3.5 ASR. AI

IMPACT Provides a comparative overview of open-source models, aiding developers in selecting the best tool for specific AI tasks.

RANK_REASON This is a comparative analysis of existing open-source models, not a release of a new model or research.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together AI ranks top open-source models by use case

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
This is a comparative analysis of existing open-source models, not a release of a new model or research.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Top open models by use case 👇

    Top open models by use case 👇 chat - Kimi K3, Qwen3.8 2.4T A95B reasoning - Kimi K3, DeepSeek V4 Pro coding agents - Kimi K3, DeepSeek V4 Flash, GLM 5.2 small + fast - Qwen3.8 27B, gpt-oss 20B mid-size general purpose - DeepSeek V4 Flash, MiniMax M3 function calling -

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