LLM Pricing
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gemma3-4b

llamagate · chat model

gemma3-4b is listed here as a chat model from llamagate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.0300 / 1M tokens
Output
$0.0800 / 1M tokens
Cached input
N/A
Context
8.2K
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
$0.0300 / 1M tokens
Output
$0.0800 / 1M tokens
Embedding
$0.0300 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K

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
MTEB 56-task summary 64.23 Average Base model: bge (BAAI/bge-large-en-v1.5) 2026-05-31 Link
MTEB 56-task summary 63.55 Average Base model: bge (BAAI/bge-base-en-v1.5) 2026-05-31 Link
MTEB 56-task summary 62.17 Average Base model: bge (BAAI/bge-small-en-v1.5) 2026-05-31 Link
MTEB 56-task summary 63.98 Average Base model: bge (bge-large-en) 2026-05-31 Link
mGTE retrieval table 64.3 Avg Base model: bge (BGE-M3 Dense) 2026-05-31 Link
mGTE retrieval table 55.1 Avg Base model: bge (BGE-M3 Sparse) 2026-05-31 Link
mGTE retrieval table 67.7 Avg Base model: bge (BGE-M3 Dense + Sparse) 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
gemma3-4b
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In $0.0300 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
8.2K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
llama-3.2-3b
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In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 49%
nova-lite
vercel_ai_gateway
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
imagetext
Output: text
VisionFunction callingResponse schema
8.2K
Partial I/O overlap
Overall 48%
llama-3.1-8b
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In $0.0300 / 1M tokens
Out $0.0500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 48%
nova-micro
vercel_ai_gateway
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Partial I/O overlap
Overall 46%
qwen3-8b
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In $0.0400 / 1M tokens
Out $0.1400 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 45%
qwen2.5-coder-7b
llamagate
In $0.0600 / 1M tokens
Out $0.1200 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 44%
qwen3-vl-8b
llamagate
In $0.1500 / 1M tokens
Out $0.5500 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
8.2K
Same provider
Overall 43%
dolphin3-8b
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 41%
nova-pro
vercel_ai_gateway
In $0.8000 / 1M tokens
Out $3.2000 / 1M tokens
imagetext
Output: text
VisionFunction callingResponse schema
8.2K
Partial I/O overlap
Overall 41%
google.gemma-3-4b-it
bedrock_converse
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
imagetext
Output: image, text
Vision
8.2K
Partial I/O overlap
Overall 39%
llama-3.1-8b-instant
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In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Function calling
8.2K
Partial I/O overlap
Overall 38%
google.gemini-2.5-flash-lite
oci
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 33%
google.gemini-2.5-flash
oci
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 30%
google.gemini-2.5-pro
oci
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
VisionFunction callingResponse schema
65.5K
Partial I/O overlap
Overall 27%
Mistral-Small-24B-Instruct-2501
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In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
text
Output: text
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Partial I/O overlap
Overall 26%
Meta-Llama-3.2-1B-Instruct
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In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Low overlap
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Partial I/O overlap
Overall 25%
gemma-3-4b-it
deepinfra
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
imagetext
Output: text
Function calling
131.1K
Partial I/O overlap
Overall 25%