Llama-4-Scout-17B-16E-Instruct
sambanova · chat model
Llama-4-Scout-17B-16E-Instruct is listed here as a chat model from sambanova. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.4000 / 1M tokens
Output
$0.7000 / 1M tokens
Cached input
N/A
Context
8.2K
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 | $0.4000 / 1M tokens |
| Output | $0.7000 / 1M tokens |
| Embedding | $0.4000 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
8.2K
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 |
|---|---|---|---|---|---|
| MMMU | 73.4 | accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| ChartQA | 90.0 | relaxed_accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| DocVQA | 94.4 | anls | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| MMLU-Pro | 80.5 | macro_avg/acc | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| GPQA Diamond | 69.8 | accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 18.4 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 15.6 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 7.2 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 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 |
|---|---|---|---|---|---|
| Llama-4-Scout-17B-16E-Instruct sambanova | In $0.4000 / 1M tokens Out $0.7000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| open-mixtral-8x7b Mistral | In $0.7000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 56% |
| mistral-medium-2505 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 53% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 53% |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 48% |
| llama-3.3-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 47% |
| mistral-small Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 47% |
| Qwen3-32B sambanova | In $0.4000 / 1M tokens Out $0.8000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 46% |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 42% |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 42% |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 42% |
| Meta-Llama-3_3-70B-Instruct ovhcloud | In $0.6700 / 1M tokens Out $0.6700 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.0K | Partial I/O overlap Overall 42% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 42% |
| codestral-2508 Mistral | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 256.0K | Partial I/O overlap Overall 41% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Partial I/O overlap Overall 39% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Partial I/O overlap Overall 39% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Partial I/O overlap Overall 39% |
| Meta-Llama-3.3-70B-Instruct sambanova | In $0.6000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.1K | Same provider Overall 38% |
| Meta-Llama-3.1-8B-Instruct sambanova | In $0.1000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 38% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 38% |
| gpt-oss-120b cerebras | In $0.3500 / 1M tokens Out $0.7500 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 37% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 36% |
| kimi-k2p5 fireworks_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 34% |
| Meta-Llama-3.1-405B-Instruct sambanova | In $5.0000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 34% |
| meta.llama3-8b-instruct-v1:0 Bedrock | In $0.3600 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 34% |
| meta.llama3-8b-instruct-v1:0 Bedrock | In $0.3500 / 1M tokens Out $0.6900 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 34% |
| Llama-4-Maverick-17B-128E-Instruct sambanova | In $0.6300 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.1K | Same provider Overall 30% |
| MiniMax-M2.7 sambanova | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Same provider Overall 27% |
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