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gemma-3-12b-it

crusoe · chat model

gemma-3-12b-it is listed here as a chat model from crusoe. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Cached input
N/A
Context
131.1K
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
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Embedding
$0.1000 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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

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-3-12b-it
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
VisionFunction callingParallel function callingTool choice
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Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
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Out $0.1000 / 1M tokens
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
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Function callingParallel function callingTool choiceSystem messages
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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In $0.0500 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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Out $0.3000 / 1M tokens
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Function callingParallel function callingTool choiceSystem messages
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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Function callingTool choice
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llama3.2-11b-vision-instruct
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
VisionFunction callingParallel function callingTool choice
131.1K
Partial I/O overlap
Overall 44%
v0-1.0-md
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
VisionFunction callingParallel function callingTool choice
128.0K
Partial I/O overlap
Overall 40%
v0-1.5-md
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
VisionFunction callingParallel function callingTool choice
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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Function callingParallel function callingTool choiceSystem messages
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In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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qwen3-vl-8b-instruct
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In $0.0800 / 1M tokens
Out $0.5000 / 1M tokens
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Partial I/O overlap
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Out $1.5000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
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Partial I/O overlap
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v0-1.5-lg
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In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
Output: unknown
VisionFunction callingParallel function callingTool choice
512.0K
Partial I/O overlap
Overall 29%
gpt-4o-mini
replicate
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
imagetext
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VisionFunction callingParallel function callingTool choice
N/A
Partial I/O overlap
Overall 29%
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In $3.0000 / 1M tokens
Out $3.0000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
262.1K
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Overall 28%
meta.llama3-2-1b-instruct-v1:0
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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4.1K
Partial I/O overlap
Overall 25%
llama-v3p1-8b-instruct
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
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llama-v3p2-1b-instruct
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
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16.4K
Partial I/O overlap
Overall 22%
llama-v3p2-3b-instruct
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In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 22%
gpt-5
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In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Partial I/O overlap
Overall 22%
DeepSeek-R1-0528
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In $3.0000 / 1M tokens
Out $7.0000 / 1M tokens
Output: unknown
System messages
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In $2.5000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
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