vs
Together AI vs Meta
Meta now sells closed Muse models on its own API with a data-sharing discount tier. Together hosts open weights on a production platform with SLAs and training.
By The Subconscious Team · Updated
Together AI vs Meta: key differences
Meta has moved toward a closed API. Muse Spark 1.3 offers 1M context at $1.25 in and $4.25 out, the endpoint speaks OpenAI, Anthropic and a stateful agentic format, and the same key reaches Muse Image at $0.01 per image and Muse Voice Transcribe. A Contributor tier drops prices to $0.10 in and $0.20 out if Meta can train on your prompts and completions. Together hosts no first-party model. It serves open weights such as Kimi K3, DeepSeek V4, GLM 5.3 and Qwen 3.8, plus its own image, video and speech lineup.
Maturity is the main gap. Meta's API is new, with a short track record. Together offers provisioned throughput with a 99% SLA, canary and blue-green rollouts, and managed fine-tuning. Meta's open option, Muse Glimmer, is distilled from Muse Spark and meant for self-hosting on vLLM, SGLang or llama.cpp. Pick Meta for cheap experiments where data sharing is acceptable, or for one-key image and transcription. Pick Together for production traffic that needs SLAs and weights you control.
What Together AI and Meta do
Together AI
Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs to about 20 open models, including GLM 5.3, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Qwen 3.8 Flash and MiniMax M3.1 Flash, plus image, video and speech models. Token prices sit at parity with Fireworks and Baseten.
Example models: Kimi K3, GLM 5.3, DeepSeek V4.1 Flash
Full Together AI profileMeta
Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta launched the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. At Meta Connect in September, Meta made the API generally available globally. Muse Spark 1.3 has a 1M token context and costs $1.25 in and $4.25 out per million tokens, with cached input at $0.15. Muse Wonder, released October 12, 2026, sits above it for longer, harder agent work at $4 in and $20 out, also with 1M context. The endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.
Example models: Muse Wonder, Muse Spark 1.3, Muse Spark Open
Full Meta profileShould you choose Together AI or Meta?
Together AI
Choose Together AI for
- Production traffic that needs an SLA today
- Fine-tuning open models on private data
- Traffic that must never train someone else's model
Meta
Choose Meta for
- Near-free prototyping on the Contributor tier
- Muse Spark through OpenAI or Anthropic SDK formats
- Cheap image generation and transcription on one key
Together AI vs Meta at a glance
| Attribute | Together AI | Meta |
|---|---|---|
| Model access | Open weights | Closed API; open Muse Spark Open and Glimmer |
| Flagship models | Kimi K3, GLM 5.3, DeepSeek V4.1 Flash, Qwen 3.8 Flash | Muse Wonder, Muse Spark 1.3, Muse Spark Open |
| Speed | 0.99s TTFT on DeepSeek V4 Pro | ~145–233 tok/s on Muse Spark 1.3 |
| Price | Parity with Fireworks and Baseten | $1.25–$4 in, $4.25–$20 out; Contributor tier cheaper |
| Customization | LoRA and full SFT; RL via Post-Training | Open Muse weights to fine-tune |
| Deployment | Serverless, dedicated, GPU clusters | Meta Model API, Oracle Cloud |
| Long context | 1M on DeepSeek V4 Pro 0813, Kimi K3, GLM 5.3 | 1M |
Frequently asked questions
What is the difference between Together AI and Meta?
Meta now sells closed Muse models on its own API with a data-sharing discount tier. Together hosts open weights on a production platform with SLAs and training.
When should I choose Together AI over Meta?
Production traffic that needs an SLA today; Fine-tuning open models on private data; Traffic that must never train someone else's model.
When should I choose Meta over Together AI?
Near-free prototyping on the Contributor tier; Muse Spark through OpenAI or Anthropic SDK formats; Cheap image generation and transcription on one key.
Is Together AI or Meta cheaper?
Together AI: Parity with Fireworks and Baseten. Meta: $1.25–$4 in, $4.25–$20 out; Contributor tier cheaper. The cheaper choice depends on the model and workload.
Which has more context, Together AI or Meta?
Together AI: 1M on DeepSeek V4 Pro 0813, Kimi K3, GLM 5.3. Meta: 1M.
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.