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Is there an AI for this?

Model

Gemma 4 31B IT

Recorded as suitable for chat, rag, multilingual, vision, reasoning.

Source
Model registry API
Verified
19 Sep 2026
Confidence
High

01What this is

Author
google
Family
Gemma 4
Task
vision-language
Hugging Face
google/gemma-4-31B-it
OpenRouter
google/gemma-4-31b-it
Also known as
gemma-4-31b-it, gemma4 31b, gemma 31b

02Registry facts

19 Sep 2026
LicenceFACT

apache-2.0

FreshRetrieved 19 Sep 2026
ParametersFACT

31.3B

FreshRetrieved 19 Sep 2026
Context lengthFACT

not returned by the registry

Evidence not verified
Downloads (30 days)FACT

9,072,622

FreshRetrieved 19 Sep 2026
LikesFACT

3,864

FreshRetrieved 19 Sep 2026
GatedFACT

no

FreshRetrieved 19 Sep 2026

Model

downloadsFACT

9072622

Verification may be outdatedRetrieved 19 Sep 2026
gatedFACT

false

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · VeniceFACT

256000

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · CoreWeaveFACT

262144

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · DeepInfraFACT

262144

Verification may be outdatedRetrieved 19 Sep 2026
likesFACT

3864

Verification may be outdatedRetrieved 19 Sep 2026
model licenseFACT

apache-2.0

Verification may be outdatedRetrieved 19 Sep 2026
parameter countFACT

31273088876

Verification may be outdatedRetrieved 19 Sep 2026

Pricing

hosted price completion per m · VeniceFACT

0.3600

AgeingRetrieved 19 Sep 2026
hosted price completion per m · CoreWeaveFACT

0.3400

AgeingRetrieved 19 Sep 2026
hosted price completion per m · DeepInfraFACT

0.3400

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · VeniceFACT

0.1200

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · CoreWeaveFACT

0.1000

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · DeepInfraFACT

0.0900

AgeingRetrieved 19 Sep 2026

Other

available on platform · vendorFACT

vendor

AgeingRetrieved 19 Sep 2026
available on platform · awsFACT

aws

Evidence not verified — the quoted phrase was not found in the fetched document.

Evidence not verified
last modifiedFACT

2026-07-20T16:42:18.000Z

Verification may be outdatedRetrieved 19 Sep 2026
libraryFACT

transformers

AgeingRetrieved 19 Sep 2026

03VRAM by quantisation

ASSESSMENT

Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 31.3B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).

Decimal GB (10⁹ bytes), matching how GPU memory is advertised.
QuantisationWeightsTotal
bf16bf16 is two bytes per weight, the same arithmetic as fp16.62.55 GB81.81 GB
int831.27 GB45.84 GB
int415.64 GB27.86 GB
q4_k_mSized as 4-bit weights. Q4_K_M averages nearer 4.5 bits in practice, so read this as a floor.15.64 GB27.86 GB

What this estimate assumes

  • Weights: 31.3B parameters × 2 bytes per parameter (fp16) = 62.55 GB.
  • No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.262 MB per token, from Qwen2.5-32B-Instruct (64 × 8 × 128).
  • KV cache: 0.262 MB per token × 8,192 tokens of context × 4 concurrent requests = 8.59 GB, sized for every user holding a full context at once.
  • Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 10.67 GB.
  • GB means 10⁹ bytes, matching how GPU memory is advertised.
  • KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
  • Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
  • "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.

04Hardware profiles

No hardware profile was sized for this answer.


05Hosted providers

Prompt (per million tokens, USD)FACT

0.09

Source: openrouter

FreshRetrieved 19 Sep 2026
Completion (per million tokens, USD)FACT

0.33999999999999997

FreshRetrieved 19 Sep 2026
ProviderContext
DeepInfra262,144
CoreWeave262,144
Venice256,000
Chutes131,072
DeepInfra262,144
Crusoe262,144

06Deployment stacks

0 using it

No published deployment stack names this model yet.


07Evidence

17 verified
  1. 01
    Tier 2official vendor legal documentationVendor legal and technical documentation

    google/gemma-4-31B-it · Hugging Face

    https://huggingface.co/google/gemma-4-31B-it

    AgeingRetrieved 19 Sep 2026sha256:8a2370f81510

    1 record

  2. 02–10
    Tier 4official repository / model cardOpenRouter

    OpenRouter endpoints — google/gemma-4-31b-it

    https://openrouter.ai/api/v1/models/google/gemma-4-31b-it/endpoints

    Verification may be outdatedRetrieved 19 Sep 2026sha256:3db3e8fe9acc

    9 records · · · · · · · ·

  3. 11–17
    Tier 4official repository / model cardHugging Face Hub

    Hugging Face model card data — google/gemma-4-31B-it

    https://huggingface.co/api/models/google/gemma-4-31B-it

    Verification may be outdatedRetrieved 19 Sep 2026sha256:fe5c5fc2862c

    7 records · · · · · ·

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