us.meta.llama3-3-70b-instruct-v1:0
bedrock_converse · chat model
us.meta.llama3-3-70b-instruct-v1:0 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.
Input
$0.7200 / 1M tokens
Output
$0.7200 / 1M tokens
Cached input
N/A
Context
4.1K
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 | $0.7200 / 1M tokens |
| Output | $0.7200 / 1M tokens |
| Embedding | $0.7200 / 1M tokens |
Token limits
Context window
4.1K
Max input tokens
128.0K
Max output tokens
4.1K
Max tokens
4.1K
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 (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| GPQA Diamond | 50.5 | acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MATH (CoT) | 77.0 | sympy_intersection_score | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| IFEval | 92.1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link | |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| us.meta.llama3-3-70b-instruct-v1:0 bedrock_converse | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| meta.llama4-scout-17b-instruct-v1:0 bedrock_converse | In $0.1700 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Same provider Overall 92% |
| us.meta.llama4-scout-17b-instruct-v1:0 bedrock_converse | In $0.1700 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Same provider Overall 92% |
| meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse | In $0.2400 / 1M tokens Out $0.9700 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Same provider Overall 91% |
| us.meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse | In $0.2400 / 1M tokens Out $0.9700 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Same provider Overall 91% |
| meta.llama3-3-70b-instruct-v1:0 bedrock_converse | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Same provider Overall 88% Missing image |
| magistral-small vercel_ai_gateway | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | Function calling | 64.0K | Text + image covered Overall 77% |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: image, text | Function calling | 4.1K | Same provider Overall 77% |
| grok-3-fast vercel_ai_gateway | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Text + image covered Overall 67% |
| meta.llama-3.3-70b-instruct oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 60% Missing text, image |
| meta.llama-4-maverick-17b-128e-instruct-fp8 oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 60% Missing text, image |
| meta.llama-4-scout-17b-16e-instruct oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 60% Missing text, image |
| meta.llama-3.1-70b-instruct oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 60% Missing text, image |
| meta.llama-3.3-70b-instruct-fp8-dynamic oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 60% Missing text, image |
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