Releasesby GlyphTraining 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.
Also shipped Sep 10, 2026Fireworks AI in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
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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.
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...
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)