LLM Pricing
← All models

gemma-3-27b-it

nebius · chat model

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

Input
$0.0600 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
128.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.0600 / 1M tokens
Output
$0.2000 / 1M tokens
Embedding
$0.0600 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K

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
nebius
In $0.0600 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
VisionFunction calling
128.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Qwen2.5-VL-72B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
VisionFunction calling
131.1K
Same provider
Overall 49%
Qwen2-VL-72B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
VisionFunction calling
131.1K
Same provider
Overall 49%
Qwen2.5-32B-Instruct
nebius
In $0.0600 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function calling
128.0K
Same provider
Overall 48%
mistral-small-latest
Mistral
In $0.0600 / 1M tokens
Out $0.1800 / 1M tokens
imagetext
Output: text
VisionFunction calling
131.1K
Partial I/O overlap
Overall 46%
mistral-small-3-2-2506
Mistral
In $0.0600 / 1M tokens
Out $0.1800 / 1M tokens
Output: unknown
VisionFunction calling
131.1K
Partial I/O overlap
Overall 46%
mistral-small-2503
azure_ai
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
imagetext
Output: text
VisionFunction calling
128.0K
Partial I/O overlap
Overall 44%
Mistral-Nemo-Instruct-2407
nebius
In $0.0400 / 1M tokens
Out $0.1200 / 1M tokens
Output: unknown
Function calling
128.0K
Same provider
Overall 40%
Llama-3.3-Nemotron-Super-49B-v1
nebius
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
Function calling
131.1K
Same provider
Overall 38%
Llama-3.3-70B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
Function calling
128.0K
Same provider
Overall 37%
gemini-3-flash-preview
gmi
In $0.5000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
VisionFunction calling
65.5K
Partial I/O overlap
Overall 34%
gpt-4o-mini
gmi
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
VisionFunction calling
16.4K
Partial I/O overlap
Overall 34%
meta.llama3-2-11b-instruct-v1:0
Bedrock
In $0.3500 / 1M tokens
Out $0.3500 / 1M tokens
imagetext
Output: text
VisionFunction calling
4.1K
Partial I/O overlap
Overall 33%
us.meta.llama3-2-11b-instruct-v1:0
Bedrock
In $0.3500 / 1M tokens
Out $0.3500 / 1M tokens
imagetext
Output: text
VisionFunction calling
4.1K
Partial I/O overlap
Overall 33%
claude-sonnet-4.5
gmi
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
VisionFunction calling
32.0K
Partial I/O overlap
Overall 29%
claude-sonnet-4
gmi
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
VisionFunction calling
32.0K
Partial I/O overlap
Overall 29%
claude-opus-4.5
gmi
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
Output: unknown
VisionFunction calling
32.0K
Partial I/O overlap
Overall 29%
claude-opus-4
gmi
In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
Output: unknown
VisionFunction calling
32.0K
Partial I/O overlap
Overall 29%
gpt-4o
gmi
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
VisionFunction calling
16.4K
Partial I/O overlap
Overall 27%
qwen-turbo
dashscope
In $0.0500 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 27%
qwen-turbo-2025-04-28
dashscope
In $0.0500 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 27%
qwen-turbo-latest
dashscope
In $0.0500 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 27%
qwen-turbo-2024-11-01
dashscope
In $0.0500 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function calling
8.2K
Partial I/O overlap
Overall 26%
Qwen2.5-Coder-32B-Instruct
nscale
In $0.0600 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 20%