Bedrock models with vision / image input
These Amazon Bedrock models accept images as input: screenshots, scanned documents, charts, photographs and UI captures. Everything else on Bedrock is text-in, and needs an OCR step before it can read a scanned PDF.
52 of the models on Bedrock qualify today, from $0.040 per 1M input tokens. Rebuilt daily from the AWS catalogue, so this list does not go stale.
What teams get wrong about this
Images are not free and are not priced separately. Bedrock converts an image into input tokens, so a full-page screenshot can cost more than the paragraph of instructions next to it. Resize before you send: the token cost scales with resolution, and most document tasks do not need the full pixel count.
All 52 models, cheapest first
| Model | Input /1M | Context |
|---|---|---|
| Gemma 3 4B IT google.gemma-3-4b-it | $0.040 | — |
| Nova Lite amazon.nova-lite-v1:0 | $0.060 | 300K |
| Gemma 3 12B IT google.gemma-3-12b-it | $0.090 | — |
| Claude Haiku 5.5 anthropic.claude-haiku-5-5 | $0.100 | 1000K |
| Ministral 3B mistral.ministral-3-3b-instruct | $0.100 | — |
| GPT-6 Luna openai.gpt-6-luna | $0.100 | 1050K |
| Ministral 3 8B mistral.ministral-3-8b-instruct | $0.150 | — |
| Writer Palmyra Vision 7B writer.palmyra-vision-7b | $0.150 | — |
| Llama 4 Scout 17B Instruct meta.llama4-scout-17b-instruct-v1:0 | $0.170 | — |
| Ministral 14B 3.0 mistral.ministral-3-14b-instruct | $0.200 | — |
| NVIDIA Nemotron Nano 12B v2 VL BF16 nvidia.nemotron-nano-12b-v2 | $0.200 | — |
| GPT-5.6 Luna openai.gpt-5.6-luna | $0.200 | 1050K |
| Gemma 3 27B PT google.gemma-3-27b-it | $0.230 | — |
| Llama 4 Maverick 17B Instruct meta.llama4-maverick-17b-instruct-v1:0 | $0.240 | — |
| Nova 2 Lite amazon.nova-2-lite-v1:0 | $0.300 | — |
| Magistral Small 2509 mistral.magistral-small-2509 | $0.500 | — |
| Mistral Large 3 mistral.mistral-large-3-675b-instruct | $0.500 | — |
| Qwen3 VL 235B A22B qwen.qwen3-vl-235b-a22b | $0.530 | — |
| Kimi K2.5 moonshotai.kimi-k2.5 | $0.600 | — |
| Nova Pro amazon.nova-pro-v1:0 | $0.800 | 300K |
| Claude Haiku 4.5 anthropic.claude-haiku-4-5-20251001-v1:0 | $1.00 | 200K |
| Claude Sonnet 5 anthropic.claude-sonnet-5 | $2.00 | 1000K |
| Claude Sonnet 5.5 anthropic.claude-sonnet-5-5 | $2.00 | 1000K |
| Pixtral Large (25.02) mistral.pixtral-large-2502-v1:0 | $2.00 | — |
| GPT-5.6 Terra openai.gpt-5.6-terra | $2.00 | 1050K |
| GPT-6 Sol openai.gpt-6-sol | $2.00 | 1050K |
| GPT-6.1 Sol openai.gpt-6.1-sol | $2.00 | 1000K |
| Grok 4.6 xai.grok-4.6 | $2.00 | 500K |
| Grok 4.7 xai.grok-4.7 | $2.00 | 524K |
| Claude 3.5 Sonnet anthropic.claude-3-5-sonnet-20240620-v1:0 | $3.00 | 200K |
| Claude 3.5 Sonnet v2 anthropic.claude-3-5-sonnet-20241022-v2:0 | $3.00 | 200K |
| Claude 3.7 Sonnet anthropic.claude-3-7-sonnet-20250219-v1:0 | $3.00 | 200K |
| Claude Sonnet 4.5 anthropic.claude-sonnet-4-5-20250929-v1:0 | $3.00 | 200K |
| Claude Sonnet 4.6 anthropic.claude-sonnet-4-6 | $3.00 | 1000K |
| Kimi K3 moonshotai.kimi-k3 | $3.00 | 1000K |
| Claude Opus 5.5 anthropic.claude-opus-5-5 | $4.00 | 1000K |
| GPT-5.6 Sol openai.gpt-5.6-sol | $4.00 | 1050K |
| Claude Opus 4.5 anthropic.claude-opus-4-5-20251101-v1:0 | $5.00 | 200K |
| Claude Opus 4.6 anthropic.claude-opus-4-6-v1 | $5.00 | 1000K |
| Claude Opus 4.7 anthropic.claude-opus-4-7 | $5.00 | 1000K |
| Claude Opus 4.8 anthropic.claude-opus-4-8 | $5.00 | 1000K |
| Claude Opus 5 anthropic.claude-opus-5 | $5.00 | 1000K |
| Claude Fable 5 anthropic.claude-fable-5 | $10.00 | 1000K |
| Claude Fable 5.1 anthropic.claude-fable-5-1 | $10.00 | 1000K |
| GPT-6 Astra openai.gpt-6-astra | $10.00 | 1050K |
| Claude Opus 4.1 anthropic.claude-opus-4-1-20250805-v1:0 | $15.00 | 200K |
| Claude 3 Haiku anthropic.claude-3-haiku-20240307-v1:0 | — | 200K |
| Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0 | — | 200K |
| GPT 5.4 openai.gpt-5.4 | — | — |
| GPT 5.5 openai.gpt-5.5 | — | — |
| Pegasus v1.2 twelvelabs.pegasus-1-2-v1:0 | — | — |
| Pegasus v1.5 twelvelabs.pegasus-1-5-v1:0 | — | — |
Capability flags come from the AWS Bedrock model catalogue; prices from the Price List API. Region counts include cross-region inference profiles. Methodology.
Questions
Which Bedrock models can read a scanned PDF?
Any model on this page can, because a scanned PDF is a set of images. Models without vision cannot, whatever their context window — they need the document run through OCR first, which loses layout.
How are images priced on Bedrock?
As input tokens. There is no separate per-image rate on the models listed here; the image is tokenised and billed at the model input price shown in the table. That means resolution is a cost lever.