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# Vertex AI rate card: the prices we bill, the allowlist of Vertex models the
# gateway will serve, and the lifecycle Google's documentation gives each one.
#
# Why one file for all three jobs: Vertex's publisher listing carries no
# modality field, so `gemini-3.8-flash` (chat), `gemini-embedding-001`
# (embeddings) and `gemini-2.5-flash-tts` (speech) are indistinguishable by
# shape, and it carries no retirement either -- Vertex lists a model right up
# to the day it is switched off. Discovery therefore cannot decide what is
# chat-capable or still supported on its own. An entry here is that decision;
# it has to carry a price before the gateway will dispatch to it (boot refuses
# an unpriced route), and it has to carry the documented lifecycle before
# discovery will publish it. A model absent from this file is reported as
# discovered-but-unpriced and never published; a model past (or within 30
# days of) `retires_on`, or `preview` without `allow_preview`, is reported as
# retiring and never published. No model is ever called to find this out.
#
# `upstream` is the model as Vertex names it (`{publisher}/{model}` from
# `publishers/{publisher}/models/{model}`); `upstream_model` is what our wire
# puts on the request -- the bare name for the gemini wire, the publisher-
# qualified name for the MaaS openai-chat surface.
#
# `launch_stage`, `released`, `retires_on`, `price_until` and every price are
# read from the `docs` page named on the entry (all read 2026-09-11). Gemini
# 3.x is served from the `global` location only; a regional Vertex endpoint
# 404s on every one of them.
#
# `allow_preview` publishes a model whose stage is not GA. It is off by
# default: a preview model can change or vanish under a running deployment.
entries:
# -- provider `vertex` (wire: gemini) -----------------------------------------
# Cache writes are billed as storage per hour, not per token, hence an explicit
# 0.0 on every Gemini entry.
# Why intro pricing: Google lists 0.75/3.75 as introductory to 2026-12-31, then
# 1.50/7.50. `price_until` is the step-up date; the scheduler warns 60 days
# ahead so the card is re-read before the standard rate applies.
- upstream: google/gemini-3.8-flash
provider: vertex
id: vertex-gemini-3.8-flash
upstream_model: gemini-3.8-flash
launch_stage: ga
released:
price_until:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-8-flash
pricing:
input_per_million: 0.75
output_per_million: 3.75
cache_read_per_million: 0.075
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-3.7-flash
provider: vertex
id: vertex-gemini-3.7-flash
upstream_model: gemini-3.7-flash
launch_stage: ga
released:
price_until:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-7-flash
pricing:
input_per_million: 0.75
output_per_million: 3.75
cache_read_per_million: 0.075
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-3.6-flash
provider: vertex
id: vertex-gemini-3.6-flash
upstream_model: gemini-3.6-flash
launch_stage: ga
released:
price_until:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-6-flash
pricing:
input_per_million: 0.75
output_per_million: 3.75
cache_read_per_million: 0.075
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-3.5-flash
provider: vertex
id: vertex-gemini-3.5-flash
upstream_model: gemini-3.5-flash
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-5-flash
pricing:
input_per_million: 1.5
output_per_million: 9.0
cache_read_per_million: 0.15
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-3.5-flash-lite
provider: vertex
id: vertex-gemini-3.5-flash-lite
upstream_model: gemini-3.5-flash-lite
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-5-flash-lite
pricing:
input_per_million: 0.3
output_per_million: 2.5
cache_read_per_million: 0.03
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-3.1-flash-lite
provider: vertex
id: vertex-gemini-3.1-flash-lite
upstream_model: gemini-3.1-flash-lite
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-1-flash-lite
pricing:
input_per_million: 0.25
output_per_million: 1.5
cache_read_per_million: 0.025
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
# Why allow_preview: 3.1 Pro has no GA successor yet, so it is the only Pro
# tier Google serves; it has been priced and documented since February.
- upstream: google/gemini-3.1-pro-preview
provider: vertex
id: vertex-gemini-3.1-pro-preview
upstream_model: gemini-3.1-pro-preview
allow_preview: true
launch_stage: preview
released:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-1-pro
pricing:
input_per_million: 2.0
output_per_million: 12.0
cache_read_per_million: 0.2
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 32768
# The 2.5 family retires 2026-10-20 (models/gemini/lifecycle). Kept priced so
# an explicit catalog declaration still bills correctly; discovery stops
# publishing them 30 days before the date.
- upstream: google/gemini-2.5-pro
provider: vertex
id: vertex-gemini-2.5-pro
upstream_model: gemini-2.5-pro
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/2-5-pro
pricing:
input_per_million: 1.25
output_per_million: 10.0
cache_read_per_million: 0.31
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 32768
- upstream: google/gemini-2.5-flash
provider: vertex
id: vertex-gemini-2.5-flash
upstream_model: gemini-2.5-flash
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/2-5-flash
pricing:
input_per_million: 0.3
output_per_million: 2.5
cache_read_per_million: 0.075
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
- upstream: google/gemini-2.5-flash-lite
provider: vertex
id: vertex-gemini-2.5-flash-lite
upstream_model: gemini-2.5-flash-lite
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/2-5-flash-lite
pricing:
input_per_million: 0.1
output_per_million: 0.4
cache_read_per_million: 0.025
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
vision: true
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 1000000
max_output_tokens: 65536
max_thinking_budget: 24576
# -- provider `vertex-maas` (wire: openai-chat) -------------------------------
# Why: cache rates are what each model page publishes; a page with no cache
# tier gets an explicit 0.0 -- declared free, not forgotten.
#
# `max_thinking_budget` marks a model as reasoning for the openai-chat wire,
# which then sends the model's own output cap instead of the caller's
# max_tokens so hidden reasoning cannot starve the visible answer.
- upstream: qwen/qwen3-coder-480b-a35b-instruct-maas
provider: vertex-maas
id: qwen.qwen3-coder-480b
upstream_model: qwen/qwen3-coder-480b-a35b-instruct-maas
launch_stage: ga
released:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/qwen/qwen3-coder
pricing:
input_per_million: 0.22
output_per_million: 1.8
cache_read_per_million: 0.022
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 262144
max_output_tokens: 65536
# Why allow_preview: the documentation calls glm-5 GA but the Vertex listing
# still marks it EXPERIMENTAL; without the opt-in the only GA GLM would be
# withheld on the listing's word against the docs'.
- upstream: zai-org/glm-5-maas
provider: vertex-maas
id: zai.glm-5
upstream_model: zai-org/glm-5-maas
allow_preview: true
launch_stage: ga
released:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/zaiorg/glm-5
pricing:
input_per_million: 1.0
output_per_million: 3.2
cache_read_per_million: 0.1
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 200000
max_output_tokens: 32768
max_thinking_budget: 16384
# Why allow_preview: 5.2 is the current GLM and is served beside 5 so a
# developer can choose; it is priced and documented, preview or not.
- upstream: zai-org/glm-5.2-maas
provider: vertex-maas
id: zai.glm-5.2
upstream_model: zai-org/glm-5.2-maas
allow_preview: true
launch_stage: preview
released:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/zaiorg/glm-52
pricing:
input_per_million: 1.4
output_per_million: 4.4
cache_read_per_million: 0.14
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 200000
max_output_tokens: 32768
max_thinking_budget: 16384
- upstream: openai/gpt-oss-120b-maas
provider: vertex-maas
id: openai.gpt-oss-120b
upstream_model: openai/gpt-oss-120b-maas
launch_stage: ga
released:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/openai/gpt-oss-120b
pricing:
input_per_million: 0.09
output_per_million: 0.36
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 128000
max_output_tokens: 32768
max_thinking_budget: 16384
# Deprecated 2026-07-21, retiring 2026-10-21 (models/deprecations/partner-models).
# Kept priced so an explicit declaration bills correctly until the date;
# discovery withholds them from 2026-09-21. Delete after retirement. Their
# model pages are gone, so `released` is omitted rather than guessed.
- upstream: qwen/qwen3-next-80b-a3b-instruct-maas
provider: vertex-maas
id: qwen.qwen3-next-instruct
upstream_model: qwen/qwen3-next-80b-a3b-instruct-maas
launch_stage: ga
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.15
output_per_million: 1.2
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 262144
max_output_tokens: 32768
- upstream: qwen/qwen3-next-80b-a3b-thinking-maas
provider: vertex-maas
id: qwen.qwen3-next-thinking
upstream_model: qwen/qwen3-next-80b-a3b-thinking-maas
launch_stage: ga
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.15
output_per_million: 1.2
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 262144
max_output_tokens: 32768
max_thinking_budget: 16384
- upstream: qwen/qwen3-235b-a22b-instruct-2507-maas
provider: vertex-maas
id: qwen.qwen3-235b
upstream_model: qwen/qwen3-235b-a22b-instruct-2507-maas
launch_stage: ga
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.25
output_per_million: 1.0
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 262144
max_output_tokens: 16384
- upstream: moonshotai/kimi-k2-thinking-maas
provider: vertex-maas
id: moonshotai.kimi-k2-thinking
upstream_model: moonshotai/kimi-k2-thinking-maas
launch_stage: ga
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.6
output_per_million: 2.5
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
reasoning: true
limits:
context_window: 262144
max_output_tokens: 32768
max_thinking_budget: 16384
- upstream: deepseek-ai/deepseek-v3.2-maas
provider: vertex-maas
id: deepseek.v3.2
upstream_model: deepseek-ai/deepseek-v3.2-maas
launch_stage: ga
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.56
output_per_million: 1.68
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 128000
max_output_tokens: 32768
max_thinking_budget: 16384
- upstream: openai/gpt-oss-20b-maas
provider: vertex-maas
id: openai.gpt-oss-20b
upstream_model: openai/gpt-oss-20b-maas
launch_stage: ga
released:
retires_on:
docs: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/deprecations/partner-models
pricing:
input_per_million: 0.07
output_per_million: 0.3
cache_read_per_million: 0.0
cache_write_per_million: 0.0
per_image_cents: null
capabilities:
streaming: true
tools: true
structured_output: true
system_prompts: true
limits:
context_window: 128000
max_output_tokens: 32768
max_thinking_budget: 16384