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Comparison · ai-assistants
Together AI vs vLLM
A side-by-side editorial comparison of Together AI and vLLM — release velocity, themes, recent moves, and the top alternatives to consider.
Together AI vs vLLM: at a glance
What is Together AI?
Together AI is building the operational stack around open models, not just the API.
Together shipped four infrastructure products in a month: Together Link for routing open models into existing coding agents, a dedicated B300 inference cluster with IBM Cloud and NVIDIA, Post-Training for custom models, and auto repair for GPU Clusters. Meta Muse Spark Open also went live with a 1M-token context window. The pitch has broadened from cheap inference to owning the full lifecycle of an open model.
What is vLLM?
vLLM opens its 0.34 cycle by moving more models onto the Transformers backend
vLLM's feed shows release candidates rather than release notes. The 0.33 cycle ran four candidates in late October with ROCm, NVFP4 and test-checkpoint fixes. The 0.34 cycle opened on 8 November by moving Gemma and StableLM onto the Transformers backend; rc1 added a NaN fix for speculative decoding on Intel XPU, and rc2 on 12 November only touches docs and tests.
Together AI vs vLLM: editorial side-by-side
Together AI
5.0AI-ASSISTANTS
Together AI is building the operational stack around open models, not just the API.
◆ Current state
Together shipped four infrastructure products in a month: Together Link for routing open models into existing coding agents, a dedicated B300 inference cluster with IBM Cloud and NVIDIA, Post-Training for custom models, and auto repair for GPU Clusters. Meta Muse Spark Open also went live with a 1M-token context window. The pitch has broadened from cheap inference to owning the full lifecycle of an open model.
◆ Where it's heading
Together is moving up from inference provider to the operating layer for teams leaving closed models. Together Link addresses the switch, Post-Training the customization, and auto repair and dedicated capacity the production risk. Each removes a reason to stay on a closed API.
◆ Prediction
Expect further tooling that shortens the path from closed to open models in coding agents, plus same-week support for major open releases. Pricing changes are not signaled in these entries.
vLLM
5.0AI-ASSISTANTS
vLLM opens its 0.34 cycle by moving more models onto the Transformers backend
◆ Current state
vLLM's feed shows release candidates rather than release notes. The 0.33 cycle ran four candidates in late October with ROCm, NVFP4 and test-checkpoint fixes. The 0.34 cycle opened on 8 November by moving Gemma and StableLM onto the Transformers backend; rc1 added a NaN fix for speculative decoding on Intel XPU, and rc2 on 12 November only touches docs and tests.
◆ Where it's heading
Cycles are short and the visible work is hardware coverage and consolidation. Moving older model families onto the generic Transformers backend points to less per-model code to maintain as new architectures arrive.
◆ Prediction
Expect one or two more 0.34 candidates before a final release; the feed does not show the cycle's full feature set, so its scope stays unclear.
Alternatives to Together AI and vLLM
Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Together AI or vLLM.
Lambda Labs
Lambda adds IAM to its GPU cloud and plans a $33 billion Alabama data center.
LobeChat
LobeHub v2.3.3 gives every agent an inbox, an address and its own reply rules.
Snorkel AI
Snorkel AI turns its coding benchmark on Fable 5.2 and finds the terminal failures mostly gone.
Recall
Recall becomes an official Claude connector, so your saved library feeds Claude's answers.
opencode
opencode keeps publishing process-daemon patches on protocol 8.
See all Together AI alternatives → · See all vLLM alternatives →
Recent activity from Together AI and vLLM
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agovLLMv0.34.0rc2 trims GPU memory settings from docs and tests
- 2d agovLLMv0.34.0rc1 fixes NaN handling in XPU speculative decoding
- 5d agovLLMv0.34.0rc0 moves Gemma and StableLM to the Transformers backend
- 14d agovLLMv0.33.0rc3 pins a test checkpoint before release
- 15d agovLLMv0.33.0rc2 fixes a large-GEMM overflow on AMD gfx950
- 17d agovLLMv0.33.0rc1 fixes NVFP4 decode tests on DGX Spark
- 18d agoTogether AIAuto repair for Together GPU Clusters: from GPU fault to healthy node
- 26d agoTogether AITogether Post-Training: frontier-grade model shaping, the way that fits you
- 1mo agoTogether AIMeta Muse Spark Open is live on Together AI
- 1mo agoTogether AIExpanding our enterprise inference capacity with IBM Cloud and NVIDIA
- 1mo agoTogether AITogether Link: open models in the harness you already use. Start with one command today.
- 1mo agoTogether AIHow to train your own Jev for $17
Frequently asked questions
What is the difference between Together AI and vLLM?
They serve adjacent needs but don't currently overlap on shipped themes. Together AI and vLLM are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Together AI better than vLLM?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Together AI and vLLM are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.
What are the best alternatives to Together AI?
Top Together AI alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Together AI alternatives" section above for the current picks, or visit /alternatives/together-ai for the full list with editorial commentary on each.
What are the best alternatives to vLLM?
Top vLLM alternatives in ai-assistants are ranked by recent ship velocity. Browse the "vLLM alternatives" section above for the current picks, or visit /alternatives/vllm for the full list with editorial commentary on each.