Recommended migrations
- DeepSeek V4 Flash (0731) , migrate to DeepSeek V4.1 Flash DeepSeek V4 Pro (0813) , migrate to DeepSeek V4.1 Flash DeepSeek V4 Flash Vision Exp , migrate to DeepSeek V4.1 Flash GLM 5.2 , migrate to GLM 5.3 Muse Glimmer 30B , migrate to NVIDIA Nemotron 3.5 Lightning 30B A3B Kimi K2.6 , migrate to GLM 5.3 or Kimi K3 Kimi K2.7 Code , migrate to GLM 5.3 or...
Also shipped Sep 12, 2026Fireworks AI in September 2026 →
Claude Code 2.1.270
What's changed Fixed read-only git commands in Bash unexpectedly asking for permission after a session had been running for a while (regression in 2.1.269)
arize-phoenix: v20.11.0
20.11.0 (2026-09-12) Features annotations: add GraphQL mutations for span, trace, and session notes (e374a4d) mcp: serve the shared skills root on the /mcp mount (dd2e22d) skills: add phoenix-error-analysis skill (df349f2) Bug Fixes mcp: carry lifespan state into in-process tool dispatch (a516ac3) Documentation restructure the Claude Code plugin docs as its...
feldera 0.349.0
- [SQL] Remove support for the WATERMARK keyword Fix vscode inotify watch exhaustion [adapters] delta: keep column case when adding partition columns [adapters] delta: Avoid errors and OOM parsing Parquet files [adapters] pg-input: report query errors to the controller [SQL] Do not build TopK operators that carry duplicate columns
More from Fireworks AI platformEvery Fireworks AI platform release →
Action required
If you use any of the models below on serverless, migrate to a recommended replacement before September 25, 2026 . After that date, they will no longer be available via serverless endpoints.
Training Training cost estimator The new training cost estimator helps you estimate what a training job will...
Training Training cost estimator The new training cost estimator helps you estimate what a training job will cost before you run it. Managed and Serverless estimates use published per-token rates. Dedicated estimates use allocated GPU-hour rates. Planning estimates are not quotes.
Platform Deployment tags and annotation API changes Deployment tags are customer-managed entries stored in a...
Platform Deployment tags and annotation API changes Deployment tags are customer-managed entries stored in a deployment's annotations map. firectl presents logical keys such as environment ; the REST API represents the same key as custom/environment . firectl: Version 1.8.3 adds deployment tag set , unset , and list , including atomic batch operations.
Inference Serverless pricing update: DeepSeek V4.1 Flash On October 1, 2026 at 00:00 UTC , serverless pricing...
Inference Serverless pricing update: DeepSeek V4.1 Flash On October 1, 2026 at 00:00 UTC , serverless pricing for DeepSeek V4.1 Flash changes (uncached input / cached input / output price per 1M tokens): Standard: $0.22 / $0.007 / $0.66 → $0.30 / $0.006 / $1.20 Priority: $0.275 / $0.00875 / $0.825 → $0.375 / $0.0075 / $1.50 This adjustment brings our...
Platform New deployment creation flags: deploymentShape: "default" and acceptShapelessRisk Two new options...
Platform New deployment creation flags: deploymentShape: "default" and acceptShapelessRisk Two new options are available on the Create Deployment API, in firectl ( --deployment-shape default / --accept-shapeless-risk ), and in the Python SDK ( deployment_shape="default" / accept_shapeless_risk=True ): deploymentShape: "default" , Fireworks picks a validated...
Inference Serverless rate limit ceilings now scale by model size Serverless adaptive rate limit ceilings now...
Inference Serverless rate limit ceilings now scale by model size Serverless adaptive rate limit ceilings now vary by model size tier. Smaller models ( Serverless rate limits for tier thresholds and ceiling values.
Training New Serverless Training models: DeepSeek V4 Flash 0731, Qwen 3.8 27B, and Muse Glimmer 30B The...
Training New Serverless Training models: DeepSeek V4 Flash 0731, Qwen 3.8 27B, and Muse Glimmer 30B The following models are now available for LoRA workloads on the shared Serverless Training pool: DeepSeek V4 Flash 0731 with up to 262K context Qwen 3.8 27B with up to 128K context Muse Glimmer 30B with up to 128K context See the Serverless Training guide...
Recommended migrations
- MiniMax M2.7 , migrate to MiniMax M3 GPT OSS 20B , migrate to GPT OSS 120B or Qwen3 8B for lower-latency workloads Kimi K2.6 Turbo / Fast , migrate to Kimi K2.6 (standard mode) Kimi K2.7 Code Fast , migrate to Kimi K2.7 Code (standard mode) DeepSeek V4 Pro , migrate to DeepSeek V4 Pro (0813)