google.gemma-3-4b-it
bedrock_converse · chat model
google.gemma-3-4b-it is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.0400 / 1M tokens |
| Output | $0.0800 / 1M tokens |
| Embedding | $0.0400 / 1M tokens |
Token limits
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 | Same provider Overall 87% |
| 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 | Same provider Overall 84% |
| gemma-3-12b-it novita | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Text + image covered Overall 76% |
| nvidia.nemotron-nano-12b-v2 bedrock_converse | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Same provider Overall 75% |
| 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 | Text + image covered Overall 74% |
| autoglm-phone-9b-multilingual novita | In $0.0350 / 1M tokens Out $0.1380 / 1M tokens | imagetext
Output: text | VisionSystem messages | 65.5K | Text + image covered Overall 73% |
| gemma-3-27b-it novita | In $0.1190 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Text + image covered Overall 72% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Text + image covered Overall 72% |
| mistral.ministral-3-3b-instruct bedrock_converse | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | System messages | 8.2K | Same provider Overall 68% |
| qwen.qwen3-vl-235b-a22b bedrock_converse | In $0.5300 / 1M tokens Out $2.6600 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Same provider Overall 65% |
| mistral.ministral-3-8b-instruct bedrock_converse | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | System messages | 8.2K | Same provider Overall 64% |
| llama-4-scout-17b-16e-instruct novita | In $0.1800 / 1M tokens Out $0.5900 / 1M tokens | imagetext
Output: text | VisionSystem messages | 131.1K | Text + image covered Overall 61% |
| gemma-3-4b-it deepinfra | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: text | Low overlap | 131.1K | Text + image covered Overall 53% |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: image, text | Low overlap | 4.1K | Same provider Overall 48% |
| Mistral-Small-24B-Instruct-2501 deepinfra | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: text | Low overlap | 32.8K | Partial I/O overlap Overall 42% Missing image |
| llama-3.2-3b llamagate | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 35% Missing text, image |
| llama-3.1-8b-instant Groq | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 33% Missing text, image |
| gemma-7b-it Groq | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 33% Missing text, image |
| Meta-Llama-3.2-1B-Instruct sambanova | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 28% Missing text, image |
No models match this filter.