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January, 2026

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Jan 23
/deprecations
Model RedirectThe following model is now being automatically redirected to its upgraded version. See our Model Lifecycle Policy for details.
Original ModelRedirects To
DeepSeek-V3-0324DeepSeek-V3.1
This is a same-lineage upgrade with compatible behavior. If you need the original version, deploy it as a Dedicated Endpoint.
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Jan 21
/endpoints
Prompt Caching Now Enabled by Default for Dedicated EndpointsPrompt caching is now automatically enabled for all newly created Dedicated Endpoints. This change improves performance and reduces costs by default.What’s changing:
  • The disable_prompt_cache field (API), --no-prompt-cache flag (CLI), and related SDK parameters are now deprecated.
  • Prompt caching will always be enabled — the field is accepted but ignored after deprecation.
Timeline:
  • Now: Field is deprecated; setting it has no effect (prompt caching is always on).
  • February 2026: Field will be removed.
Action required:
  • --no-prompt-cache in CLI commands has no effect. You can remove it.
  • disable_prompt_cache from API requests has no effect. You can remove it.
  • SDK calls that set this parameter have no effect. You can remove it.
No changes are required for existing endpoints — this only affects endpoint creation.
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Jan 9
/serverless-models
Serverless Model Bring UpsThe following models have been added:
  • zai-org/GLM-4.7
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Jan 5
/deprecations
Model DeprecationsThe following models have been deprecated and are no longer available:
  • Qwen/Qwen2.5-VL-72B-Instruct

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December, 2025

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Dec 23
/deprecations
Model DeprecationsThe following models have been deprecated and are no longer available:
  • deepseek-ai/DeepSeek-R1-Distill-Llama-70B
  • meta-llama/Meta-Llama-3-70B-Instruct-Turbo
  • black-forest-labs/FLUX.1-schnell-free
  • meta-llama/Meta-Llama-Guard-3-8B
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Dec 17
/deprecations
Model Redirects Now ActiveThe following models are now being automatically redirected to their upgraded versions. See our Model Lifecycle Policy for details.
Original ModelRedirects To
Kimi-K2Kimi-K2-0905
DeepSeek-V3DeepSeek-V3-0324
DeepSeek-R1DeepSeek-R1-0528
These are same-lineage upgrades with compatible behavior. If you need the original version, deploy it as a Dedicated Endpoint.
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Dec 12
Python v2 SDK, /jobs, /hardware
Python SDK v2.0 Release CandidateTogether AI is releasing the Python SDK v2.0 Release Candidate — a new, OpenAPI‑generated, strongly‑typed client that replaces the legacy v1.0 package and brings the SDK into lock‑step with the latest platform features.
  • pip install together==2.0.0a9
  • RC Period: The v2.0 RC window starts today and will run for approximately 1 month. During this time we’ll iterate quickly based on developer feedback and may make a few small, well‑documented breaking changes before GA.
  • Type‑Safe, Modern Client: Stronger typing across parameters and responses, keyword‑only arguments, explicit NOT_GIVEN handling for optional fields, and rich together.types.* definitions for chat messages, eval parameters, and more.
  • Redesigned Error Model: Replaces TogetherException with a new TogetherError hierarchy, including APIStatusError and specific HTTP status code errors such as BadRequestError (400), AuthenticationError (401), RateLimitError (429), and InternalServerError (5xx), plus transport (APIConnectionError, APITimeoutError) and validation (APIResponseValidationError) errors.
  • New Jobs API: Adds first‑class support for the Jobs API (client.jobs.*) so you can create, list, and inspect asynchronous jobs directly from the SDK without custom HTTP wrappers.
  • New Hardware API: Adds the Hardware API (client.hardware.*) to discover available hardware, filter by model compatibility, and compute effective hourly pricing from cents_per_minute.
  • Raw Response & Streaming Helpers: New .with_raw_response and .with_streaming_response helpers make it easier to debug, inspect headers and status codes, and stream completions via context managers with automatic cleanup.
  • Code Interpreter Sessions: Adds session management for the Code Interpreter (client.code_interpreter.sessions.*), enabling multi‑step, stateful code‑execution workflows that were not possible in the legacy SDK.
  • High Compatibility for Core APIs: Most core usage patterns, including chat.completions, completions, embeddings, images.generate, audio transcription/translation/speech, rerank, fine_tuning.create/list/retrieve/cancel, and models.list — are designed to be drop‑in compatible between v1 and v2.
  • Targeted Breaking Changes: Some APIs (Files, Batches, Endpoints, Evals, Code Interpreter, select fine‑tuning helpers) have updated method names, parameters, or response shapes; these are fully documented in the Python SDK Migration Guide and Breaking Changes notes.
  • Migration Resources: A dedicated Python SDK Migration Guide is available with API‑by‑API before/after examples, a feature parity matrix, and troubleshooting tips to help teams smoothly transition from v1 to v2 during the RC period.
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Dec 8
/serverless-models
Serverless Model Bring UpsThe following models have been added:
  • mistralai/Ministral-3-14B-Instruct-2512

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November, 2025

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Nov 10
/serverless-models, /function-calling
Serverless Model Bring UpsThe following models have been added:
  • zai-org/GLM-4.6
  • moonshotai/Kimi-K2-Thinking
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Nov 3
/audio/speech, /audio/transcriptions
Enhanced Audio Capabilities: Real-time Text-to-Speech and Speech-to-TextTogether AI expands audio capabilities with real-time streaming for both TTS and STT, new models, and speaker diarization.
  • Real-time Text-to-Speech: WebSocket API for lowest-latency interactive applications
  • New TTS Models: Orpheus 3B (canopylabs/orpheus-3b-0.1-ft) and Kokoro 82M (hexgrad/Kokoro-82M) supporting REST, streaming, and WebSocket endpoints
  • Real-time Speech-to-Text: WebSocket streaming transcription with Whisper for live audio applications
  • Voxtral Model: New Mistral AI speech recognition model (mistralai/Voxtral-Mini-3B-2507) for audio transcriptions
  • Speaker Diarization: Identify and label different speakers in audio transcriptions with a free diarize flag
  • TTS WebSocket endpoint: /v1/audio/speech/websocket
  • STT WebSocket endpoint: /v1/realtime
  • Check out the Text-to-Speech guide and Speech-to-Text guide

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October, 2025

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Oct 31
/images
Model DeprecationsThe following image models have been deprecated and are no longer available:
  • black-forest-labs/FLUX.1-pro (Calls to FLUX.1-pro will now redirect to FLUX.1.1-pro)
  • black-forest-labs/FLUX.1-Canny-pro
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Oct 21
/videos, /images
Video Generation API & 40+ New Image and Video ModelsTogether AI expands into multimedia generation with comprehensive video and image capabilities. Read more
  • New Video Generation API: Create high-quality videos with models like OpenAI Sora 2, Google Veo 3.0, and Minimax Hailuo
  • 40+ Image & Video Models: Including Google Imagen 4.0 Ultra, Gemini Flash Image 2.5 (Nano Banana), ByteDance SeeDream, and specialized editing tools
  • Unified Platform: Combine text, image, and video generation through the same APIs, authentication, and billing
  • Production-Ready: Serverless endpoints with transparent per-model pricing and enterprise-grade infrastructure
  • Video endpoints: /videos/create and /videos/retrieve
  • Image endpoint: /images/generations

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September, 2025

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Sep 15
/batch_api
Improved Batch Inference API: Enhanced UI, Expanded Model Support, and Rate Limit IncreaseWhat’s New
  • Streamlined UI: Create and track batch jobs in an intuitive interface — no complex API calls required.
  • Universal Model Access: The Batch Inference API now supports all serverless models and private deployments, so you can run batch workloads on exactly the models you need.
  • Massive Scale Jump: Rate limits are up from 10M to 30B enqueued tokens per model per user, a 3000× increase. Need more? We’ll work with you to customize.
  • Lower Cost: For most serverless models, the Batch Inference API runs at 50% the cost of our real-time API, making it the most economical way to process high-throughput workloads.
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Sep 13
/chat/completions
Qwen3-Next-80B Models ReleaseNew Qwen3-Next-80B models now available for both thinking and instruction tasks.
  • Model ID: Qwen/Qwen3-Next-80B-A3B-Thinking
  • Model ID: Qwen/Qwen3-Next-80B-A3B-Instruct
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Sep 10
/fine-tunes
Fine-Tuning Platform UpgradesEnhanced fine-tuning capabilities with expanded model support and increased context lengths. Read moreEnable fine-tuning for new large models:
  • openai/gpt-oss-120b
  • deepseek-ai/DeepSeek-V3.1
  • deepseek-ai/DeepSeek-V3.1-Base
  • deepseek-ai/DeepSeek-R1-0528
  • deepseek-ai/DeepSeek-R1
  • deepseek-ai/DeepSeek-V3-0324
  • deepseek-ai/DeepSeek-V3
  • deepseek-ai/DeepSeek-V3-Base
  • Qwen/Qwen3-Coder-480B-A35B-Instruct
  • Qwen/Qwen3-235B-A22B (context length 32,768 for SFT and 16,384 for DPO)
  • Qwen/Qwen3-235B-A22B-Instruct-2507 (context length 32,768 for SFT and 16,384 for DPO)
  • meta-llama/Llama-4-Maverick-17B-128E
  • meta-llama/Llama-4-Maverick-17B-128E-Instruct
  • meta-llama/Llama-4-Scout-17B-16E
  • meta-llama/Llama-4-Scout-17B-16E-Instruct
Increased maximum supported context length (per model and variant):DeepSeek Models
  • DeepSeek-R1-Distill-Llama-70B: SFT: 8192 → 24,576, DPO: 8192 → 8192
  • DeepSeek-R1-Distill-Qwen-14B: SFT: 8192 → 65,536, DPO: 8192 → 12,288
  • DeepSeek-R1-Distill-Qwen-1.5B: SFT: 8192 → 131,072, DPO: 8192 → 16,384
Google Gemma Models
  • gemma-3-1b-it: SFT: 16,384 → 32,768, DPO: 16,384 → 12,288
  • gemma-3-1b-pt: SFT: 16,384 → 32,768, DPO: 16,384 → 12,288
  • gemma-3-4b-it: SFT: 16,384 → 131,072, DPO: 16,384 → 12,288
  • gemma-3-4b-pt: SFT: 16,384 → 131,072, DPO: 16,384 → 12,288
  • gemma-3-12b-pt: SFT: 16,384 → 65,536, DPO: 16,384 → 8,192
  • gemma-3-27b-it: SFT: 12,288 → 49,152, DPO: 12,288 → 8,192
  • gemma-3-27b-pt: SFT: 12,288 → 49,152, DPO: 12,288 → 8,192
Qwen Models
  • Qwen3-0.6B / Qwen3-0.6B-Base: SFT: 8192 → 32,768, DPO: 8192 → 24,576
  • Qwen3-1.7B / Qwen3-1.7B-Base: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen3-4B / Qwen3-4B-Base: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen3-8B / Qwen3-8B-Base: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen3-14B / Qwen3-14B-Base: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen3-32B: SFT: 8192 → 24,576, DPO: 8192 → 4096
  • Qwen2.5-72B-Instruct: SFT: 8192 → 24,576, DPO: 8192 → 8192
  • Qwen2.5-32B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 12,288
  • Qwen2.5-32B: SFT: 8192 → 49,152, DPO: 8192 → 12,288
  • Qwen2.5-14B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2.5-14B: SFT: 8192 → 65,536, DPO: 8192 → 16,384
  • Qwen2.5-7B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2.5-7B: SFT: 8192 → 131,072, DPO: 8192 → 16,384
  • Qwen2.5-3B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2.5-3B: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2.5-1.5B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2.5-1.5B: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2-72B-Instruct / Qwen2-72B: SFT: 8192 → 32,768, DPO: 8192 → 8192
  • Qwen2-7B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2-7B: SFT: 8192 → 131,072, DPO: 8192 → 16,384
  • Qwen2-1.5B-Instruct: SFT: 8192 → 32,768, DPO: 8192 → 16,384
  • Qwen2-1.5B: SFT: 8192 → 131,072, DPO: 8192 → 16,384
Meta Llama Models
  • Llama-3.3-70B-Instruct-Reference: SFT: 8,192 → 24,576, DPO: 8,192 → 8,192
  • Llama-3.2-3B-Instruct: SFT: 8,192 → 131,072, DPO: 8,192 → 24,576
  • Llama-3.2-1B-Instruct: SFT: 8,192 → 131,072, DPO: 8,192 → 24,576
  • Meta-Llama-3.1-8B-Instruct-Reference: SFT: 8,192 → 131,072, DPO: 8,192 → 16,384
  • Meta-Llama-3.1-8B-Reference: SFT: 8,192 → 131,072, DPO: 8,192 → 16,384
  • Meta-Llama-3.1-70B-Instruct-Reference: SFT: 8,192 → 24,576, DPO: 8,192 → 8,192
  • Meta-Llama-3.1-70B-Reference: SFT: 8,192 → 24,576, DPO: 8,192 → 8,192
Mistral Models
  • mistralai/Mistral-7B-v0.1: SFT: 8,192 → 32,768, DPO: 8,192 → 32,768
  • teknium/OpenHermes-2p5-Mistral-7B: SFT: 8,192 → 32,768, DPO: 8,192 → 32,768
Enhanced Hugging Face integrations:
  • Fine-tune any < 100B parameter CausalLM from Hugging Face Hub
  • Support for DPO variants such as LN-DPO, DPO+NLL, and SimPO
  • Support fine-tuning with maximum batch size
  • Public fine-tunes/models/limits and fine-tunes/models/supported endpoints
  • Automatic filtering of sequences with no trainable tokens (e.g., if a sequence prompt is longer than the model’s context length, the completion is pushed outside the window)
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Sep 9
/gpu_cluster
Together Instant Clusters General AvailabilitySelf-service NVIDIA GPU clusters with API-first provisioning. Read more
  • New API endpoints for cluster management:
    • /v1/gpu_cluster - Create and manage GPU clusters
    • /v1/shared_volume - High-performance shared storage
    • /v1/regions - Available data center locations
  • Support for NVIDIA Blackwell (HGX B200) and Hopper (H100, H200) GPUs
  • Scale from single-node (8 GPUs) to hundreds of interconnected GPUs
  • Pre-configured with Kubernetes, Slurm, and networking components
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Sep 8
/evaluation
Serverless LoRA and Dedicated Endpoints support for EvaluationsYou can now run evaluations:
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Sep 5
/chat/completions
Kimi-K2-Instruct-0905 Model ReleaseUpgraded version of Moonshot’s 1 trillion parameter MoE model with enhanced performance. Read more
  • Model ID: moonshot-ai/Kimi-K2-Instruct-0905

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August, 2025

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Aug 27
/chat/completions
DeepSeek-V3.1 Model ReleaseUpgraded version of DeepSeek-R1-0528 and DeepSeek-V3-0324. Read more
  • Dual Modes: Fast mode for quick responses, thinking mode for complex reasoning
  • 671B total parameters with 37B active parameters
  • Model ID: deepseek-ai/DeepSeek-V3.1
Model DeprecationsThe following models have been deprecated and are no longer available:
  • meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
  • black-forest-labs/FLUX.1-canny
  • meta-llama/Llama-3-8b-chat-hf
  • black-forest-labs/FLUX.1-redux
  • black-forest-labs/FLUX.1-depth
  • deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
  • NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
  • meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo
  • meta-llama-llama-3-3-70b-instruct-lora
  • Qwen/Qwen2.5-14B
  • meta-llama/Llama-Vision-Free
  • Qwen/Qwen2-72B-Instruct
  • google/gemma-2-27b-it
  • meta-llama/Meta-Llama-3-8B-Instruct
  • perplexity-ai/r1-1776
  • nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
  • Qwen/Qwen2-VL-72B-Instruct
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Aug 19
/fine-tunes
GPT-OSS Models Fine-Tuning SupportFine-tune OpenAI’s open-source models to create domain-specific variants. Read more
  • Supported models: gpt-oss-20B and gpt-oss-120B
  • Supports 16K context SFT, 8k context DPO
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Aug 5
/chat/completions
OpenAI GPT-OSS Models Now AvailableOpenAI’s first open-weight models now accessible through Together AI. Read more
  • Model IDs: openai/gpt-oss-20b, openai/gpt-oss-120b

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July, 2025

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Jul 29
/chat/completions
VirtueGuard Model ReleaseEnterprise-grade gaurd model for safety monitoring with 8ms response time. Read more
  • Real-time content filtering and bias detection
  • Prompt injection protection
  • Model ID: VirtueAI/VirtueGuard-Text-Lite
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Jul 28
/evaluation
Together Evaluations FrameworkBenchmarking platform using LLM-as-a-judge methodology for model performance assessment. Read more
  • Create custom LLM-as-a-Judge evaluation suites for your domain
  • Support compare, classify and score functionality
  • Enables comparing models, prompts and LLM configs, scoring and classifying LLM outputs
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Jul 25
/chat/completions
Qwen3-Coder-480B Model ReleaseAgentic coding model with top SWE-Bench Verified performance. Read more
  • 480B total parameters with 35B active (MoE architecture)
  • 256K context length for entire codebase handling
  • Leading SWE-Bench scores on software engineering benchmarks
  • Model ID: Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8
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Jul 17
/chat/completions
NVIDIA HGX B200 Hardware SupportRecord-breaking serverless inference speed for DeepSeek-R1-0528 using NVIDIA’s Blackwell architecture. Read more
  • Dramatically improved throughput and lower latency
  • Same API endpoints and pricing
  • Model ID: deepseek-ai/DeepSeek-R1
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Jul 14
/chat/completions
Kimi-K2-Instruct Model LaunchMoonshot AI’s 1 trillion parameter MoE model with frontier-level performance. Read more
  • Excels at tool use, and multi-step tasks and strong multilingual support
  • Great agentic and function calling capabilities
  • Model ID: moonshotai/Kimi-K2-Instruct
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Jul 10
/audio/transcriptions
Whisper Speech-to-Text APIsHigh-performance audio transcription that’s 15× faster than OpenAI with support for files over 1 GB. Read more
  • Multiple audio formats with timestamp generation
  • Speaker diarization and language detection
  • Use /audio/transcriptions and /audio/translations endpoint
  • Model ID: openai/whisper-large-v3
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Jul 8
Compliance
SOC 2 Type II Compliance CertificationAchieved enterprise-grade security compliance through independent audit of security controls. Read more
  • Simplified vendor approval and procurement
  • Reduced due diligence requirements
  • Support for regulated industries