← All models

gemma-3-27b-it

novita · chat model

gemma-3-27b-it is listed here as a chat model from novita. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1190 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
16.4K

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.1190 / 1M tokens
Output
$0.2000 / 1M tokens
Embedding
$0.1190 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
98.3K
Max output tokens
16.4K
Max tokens
16.4K

Capabilities

Capability Supported
Vision
Function calling
Parallel function calling
Tool choice
Prompt caching
Reasoning
Response schema
System messages
Audio input
Audio output
Web search
PDF input
Video input

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MMLU 78.6 5-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MMLU-Pro (CoT) 52.2 5-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
GPQA 24.3 5-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
HumanEval 48.8 0-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MATH 50.0 4-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MMLU 78.6 5-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
GSM8K 82.6 8-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
HumanEval 48.8 0-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MGSM 74.3 0-shot Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
DocVQA 85.6 val Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MMMU 56.1 pt Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
DocVQA 85.6 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
InfoVQA 59.4 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
MMMU 56.1 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
TextVQA 68.6 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
AI2D 79.0 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link
ChartQA 76.3 score Base model: Gemma 3 (Gemma 3 PT 27B) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
gemma-3-27b-it
novita
In $0.1190 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
VisionSystem messages
16.4K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
paddleocr-vl
novita
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
VisionSystem messages
16.4K
Same provider
Overall 83%
nvidia.nemotron-nano-12b-v2
bedrock_converse
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
imagetext
Output: text
VisionSystem messages
8.2K
Text + image covered
Overall 82%
llama-v3p2-11b-vision-instruct
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
Vision
16.4K
Text + image covered
Overall 80%
llama-4-maverick-17b-128e-instruct-fp8
novita
In $0.2700 / 1M tokens
Out $0.8500 / 1M tokens
imagetext
Output: text
VisionSystem messages
8.2K
Same provider
Overall 79%
autoglm-phone-9b-multilingual
novita
In $0.0350 / 1M tokens
Out $0.1380 / 1M tokens
imagetext
Output: text
VisionSystem messages
65.5K
Same provider
Overall 79%
google.gemma-3-12b-it
bedrock_converse
In $0.0900 / 1M tokens
Out $0.2900 / 1M tokens
imagetext
Output: image, text
VisionSystem messages
8.2K
Text + image covered
Overall 79%
llama-4-scout-17b-16e-instruct
novita
In $0.1800 / 1M tokens
Out $0.5900 / 1M tokens
imagetext
Output: text
VisionSystem messages
131.1K
Same provider
Overall 77%
ernie-4.5-vl-424b-a47b
novita
In $0.4200 / 1M tokens
Out $1.2500 / 1M tokens
imagetext
Output: text
VisionSystem messages
16.0K
Same provider
Overall 76%
google.gemma-3-27b-it
bedrock_converse
In $0.2300 / 1M tokens
Out $0.3800 / 1M tokens
imagetext
Output: image, text
VisionSystem messages
8.2K
Text + image covered
Overall 75%
google.gemma-3-4b-it
bedrock_converse
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
imagetext
Output: image, text
VisionSystem messages
8.2K
Text + image covered
Overall 72%
gemma-3-12b-it
novita
In $0.0500 / 1M tokens
Out $0.1000 / 1M tokens
imagetext
Output: text
VisionSystem messages
8.2K
Same provider
Overall 69%
qwen.qwen3-vl-235b-a22b
bedrock_converse
In $0.5300 / 1M tokens
Out $2.6600 / 1M tokens
imagetext
Output: text
VisionSystem messages
8.2K
Text + image covered
Overall 67%
ui-tars-1.5-7b
OpenRouter
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
Low overlap
2.0K
Text + image covered
Overall 60%
mistral.mistral-7b-instruct-v0:2
Bedrock
In $0.1500 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 54%
Missing image
Meta-Llama-3.1-8B-Instruct
sambanova
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 34%
Missing text, image
deepseek-r1-8b
llamagate
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 34%
Missing text, image
llava-7b
llamagate
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: unknown
Vision
2.0K
Partial I/O overlap
Overall 29%
Missing text, image
lfm-40b
lambda_ai
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: unknown
System messages
131.1K
Partial I/O overlap
Overall 25%
Missing text, image