Skip to main content
Verified 2026-10-03 against serverless catalog, pricing, and deprecations. Prices are USD per 1M tokens at standard online rates. Model IDs use the togetherai/ prefix. Dedicated endpoints require provisioning and use deployment-specific billing.

​
Meta LLaMA

Llama-3.3-70B-Instruct-Turbo

Reasoning · Speedtogetherai/meta-llama/Llama-3.3-70B-Instruct-TurboMultilingual instruction-tuned model with 70B parameters, delivering enhanced performance relative to Llama 3.1 70B and matching Llama 3.2 90B on text-only tasks.
  • $1.04 / $1.04 per 1M input / output tokens
  • 131,072 tokens context
  • Text input

​
Qwen

Qwen/Qwen3.5-397B-A17B

Reasoning · Speedtogetherai/Qwen/Qwen3.5-397B-A17BMultimodal foundation model with 397B total parameters (17B active) featuring a Hybrid MoE architecture with early fusion vision-language training. State-of-the-art across chat, RAG, vision-language, and agentic workflows.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,000 tokens context
  • Text, Image input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Qwen3-235B-A22B-Instruct-2507-tput

Reasoning · Speedtogetherai/Qwen/Qwen3-235B-A22B-Instruct-2507-tputMoE model with 235B total parameters (22B active) in non-thinking mode, optimized for throughput. Supports multilingual dialogue across 100+ languages.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,000 tokens context
  • Text input
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Qwen3-Coder-480B-A35B-Instruct-FP8

Reasoning · Speedtogetherai/Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8Qwen’s most agentic code model, a 480B-parameter MoE (35B active) achieving results comparable to Claude Sonnet on agentic coding, browser-use, and repository-scale tasks.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,000 tokens context
  • Text input
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Qwen3-Coder-Next-FP8

Reasoning · Speedtogetherai/Qwen/Qwen3-Coder-Next-FP8Next-generation coding model with hybrid thinking mode for adaptive reasoning depth.
  • Dedicated deployment pricing; no fixed per-token rate
  • 256,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Qwen3-Next-80B-A3B-Instruct

Reasoning · Speedtogetherai/Qwen/Qwen3-Next-80B-A3B-InstructFirst model in the Qwen3-Next series with 80B total parameters (3.9B active), featuring hybrid attention. Matches Qwen3-235B performance while using less than 10% training cost.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Qwen2.5-7B-Instruct-Turbo

Reasoning · Speedtogetherai/Qwen/Qwen2.5-7B-Instruct-TurboPart of the Qwen2.5 family with 7B parameters, featuring improvements in coding, mathematics, instruction following, and structured data understanding.
  • Dedicated deployment pricing; no fixed per-token rate
  • 128,000 tokens context
  • Text input
Availability unresolved: marketing/pricing pages list serverless, but the current serverless catalog omits this ID. Existing dedicated-only restriction is retained pending provider confirmation; no dedicated per-token rate is assumed.

​
DeepSeek

DeepSeek-V3.1

Reasoning · Speedtogetherai/deepseek-ai/DeepSeek-V3.1Hybrid model supporting both thinking and non-thinking modes. Features significantly improved tool usage and agent task performance, with quality comparable to DeepSeek-R1-0528 in thinking mode.
  • Dedicated deployment pricing; no fixed per-token rate
  • 128,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

DeepSeek-V4-Pro

Reasoning · Speedtogetherai/deepseek-ai/DeepSeek-V4-ProDeepSeek V4 Pro on Together dedicated endpoints: hybrid attention, up to 512K context, strong coding and agent benchmarks.
  • Dedicated deployment pricing; no fixed per-token rate
  • 512,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

​
Kimi / MiniMax / GLM / Other

Kimi-K2.6

Reasoning · Speedtogetherai/moonshotai/Kimi-K2.6Moonshot Kimi K2.6 on Together dedicated endpoints: 1T-scale MoE with tool calling and JSON mode for agentic and multimodal workloads.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,000 tokens context
  • Text, Image input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

Kimi-K2.7-Code

Reasoning · Speedtogetherai/moonshotai/Kimi-K2.7-CodeMoonshot Kimi K2.7 Code on Together for long-context programming agents with thinking mode.
  • Dedicated deployment pricing; no fixed per-token rate
  • 262,144 tokens context
  • Text, Image input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

MiniMax-M2.7

Reasoning · Speedtogetherai/MiniMaxAI/MiniMax-M2.7MiniMax successor MoE (~229B) with improved coding and agentic tool use, JSON mode, and prompt caching on Together dedicated endpoints.
  • Dedicated deployment pricing; no fixed per-token rate
  • 202,752 tokens context
  • Text input
Availability unresolved: marketing/pricing pages list serverless, but the current serverless catalog omits this ID. Existing dedicated-only restriction is retained pending provider confirmation; no dedicated per-token rate is assumed.

MiniMax-M3

Reasoning · Speedtogetherai/MiniMaxAI/MiniMax-M3MiniMax M3 multimodal model on Together for chat, agents, and long-context workloads.
  • $0.3 / $1.2 per 1M input / output tokens
  • Cached input: $0.06 per 1M tokens
  • 524,288 tokens context
  • Text, Image input
  • Reasoning

GLM-5.1

Reasoning · Speedtogetherai/zai-org/GLM-5.1Z.ai post-training upgrade to GLM-5: 754B MoE (40B active), 200K context, thinking mode, tool calling, and stronger coding via RL.
  • Dedicated deployment pricing; no fixed per-token rate
  • 200,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

GLM-5.2

Reasoning · Speedtogetherai/zai-org/GLM-5.2Z.ai GLM-5.2 flagship on Together for coding, reasoning, and agentic tool use.
  • $1.4 / $4.4 per 1M input / output tokens
  • Cached input: $0.26 per 1M tokens
  • 1,048,575 tokens context
  • Text input
  • Reasoning

gpt-oss-120b

Reasoning · Speedtogetherai/openai/gpt-oss-120bOpenAI’s open-weight MoE model with 120B total parameters (5.1B active per token). Achieves near-parity with o4-mini on core reasoning benchmarks while running on a single 80GB GPU. Apache 2.0.
  • $0.15 / $0.6 per 1M input / output tokens
  • 131,072 tokens context
  • Text input
  • Reasoning

gpt-oss-20b

Reasoning · Speedtogetherai/openai/gpt-oss-20bOpenAI’s compact 20B MoE delivering o3-mini-level results on Together dedicated endpoints. Apache 2.0.
  • Dedicated deployment pricing; no fixed per-token rate
  • 128,000 tokens context
  • Text input
  • Reasoning
Dedicated endpoint required. Provisioning is billed by GPU time; historical serverless per-token prices do not apply. Use the deployed endpoint ID. https://docs.together.ai/docs/deprecations

​
Newly verified models

Kimi K3 (Together)

togetherai/moonshotai/Kimi-K3Kimi K3 on Together serverless.
  • $3 / $15 per 1M input / output tokens
  • Cached input: $0.3 per 1M tokens
  • 1,048,576 tokens context
  • Text, Image input
  • Reasoning

DeepSeek V4 Pro 0813 (Together)

togetherai/deepseek-ai/DeepSeek-V4-Pro-0813DeepSeek V4 Pro 0813 on Together serverless.
  • $1.32 / $3.96 per 1M input / output tokens
  • Cached input: $0.13 per 1M tokens
  • 1,048,576 tokens context
  • Text input
  • Reasoning

DeepSeek V4 Flash 0731 (Together)

togetherai/deepseek-ai/DeepSeek-V4-Flash-0731DeepSeek V4 Flash 0731 on Together serverless.
  • $0.14 / $0.28 per 1M input / output tokens
  • Cached input: $0.03 per 1M tokens
  • 1,048,576 tokens context
  • Text input
  • Reasoning

DeepSeek V4.1 Flash (Together)

togetherai/deepseek-ai/DeepSeek-V4.1-FlashDeepSeek V4.1 Flash on Together serverless.
  • $0.3 / $1.2 per 1M input / output tokens
  • Cached input: $0.006 per 1M tokens
  • 1,000,000 tokens context
  • Text, Image input
  • Reasoning

GLM-5.3 (Together)

togetherai/zai-org/GLM-5.3GLM-5.3 on Together serverless.
  • $1.4 / $4.4 per 1M input / output tokens
  • Cached input: $0.26 per 1M tokens
  • 1,048,575 tokens context
  • Text input
  • Reasoning

GLM-5.3 Flash (Together)

togetherai/zai-org/GLM-5.3-FlashGLM-5.3 Flash on Together serverless.
  • $0.15 / $0.5 per 1M input / output tokens
  • Cached input: $0.03 per 1M tokens
  • 1,048,575 tokens context
  • Text, Image input
  • Reasoning

Inkling (Together)

togetherai/thinkingmachines/InklingInkling on Together serverless.
  • $1 / $4.05 per 1M input / output tokens
  • Cached input: $0.17 per 1M tokens
  • 524,288 tokens context
  • Text, Image input
  • Reasoning
Listed token rates cover text. Together also advertises native audio, but audio-specific billing and transport are not represented here.

Muse Glimmer 30B (Together)

togetherai/meta-models/Muse-Glimmer-30BMuse Glimmer 30B on Together serverless.
  • $0.35 / $1.5 per 1M input / output tokens
  • Cached input: $0.04 per 1M tokens
  • 131,072 tokens context
  • Text, Image input

Qwen 3.5 9B (Together)

togetherai/Qwen/Qwen3.5-9BQwen 3.5 9B on Together serverless.
  • $0.17 / $0.25 per 1M input / output tokens
  • 262,144 tokens context
  • Text, Image input
  • Reasoning

Qwen 3.8 2.4T A95B (Together)

togetherai/Qwen/Qwen3.8-2.4T-A95BQwen 3.8 2.4T A95B on Together serverless.
  • $2 / $6 per 1M input / output tokens
  • 1,000,000 tokens context
  • Text, Image input
  • Reasoning
Cached-input pricing unresolved: serverless docs quote $0.50/1M, while pricing and model pages quote $0.25/1M. No cached rate is assigned until confirmed. https://docs.together.ai/docs/serverless/models and https://www.together.ai/models/qwen3-8-max

​
Retirement and pricing notes

The deprecation ledger removes GLM-5, GLM-4.7, Gemma 3n E4B, Cogito v2.1, and Mistral Small 24B from serverless with no on-demand endpoint support. Gemma 3 27B was also retired from dedicated inference. These IDs are no longer in this catalog. Monthly reserved arrangements, where offered, require a separate agreement. GPT-OSS 20B and Kimi K2.7 Code remain listed above for dedicated deployments only. Qwen 3.8 cached input has conflicting official rates: $0.50 in the serverless catalog versus $0.25 on pricing and model pages. Its cached price is deliberately unassigned. MiniMax M2.7 and Qwen2.5 7B have conflicting availability listings; their existing dedicated restriction is retained pending confirmation.