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Llama-4-Scout-17B-16E-Instruct

wandb · chat model

Llama-4-Scout-17B-16E-Instruct is listed here as a chat model from wandb. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$17000.0000 / 1M tokens
Output
$66000.0000 / 1M tokens
Cached input
N/A
Context
64.0K
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
$17000.0000 / 1M tokens
Output
$66000.0000 / 1M tokens
Embedding
$17000.0000 / 1M tokens

Token limits

Context window
64.0K
Max input tokens
64.0K
Max output tokens
64.0K
Max tokens
64.0K

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
wandb
In $17000.0000 / 1M tokens
Out $66000.0000 / 1M tokens
Output: unknown
No public capabilities
64.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
gpt-oss-120b
wandb
In $15000.0000 / 1M tokens
Out $60000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 25%
Llama-3.3-70B-Instruct
wandb
In $71000.0000 / 1M tokens
Out $71000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 20%
Llama-3.1-8B-Instruct
wandb
In $22000.0000 / 1M tokens
Out $22000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 18%
Phi-4-mini-instruct
wandb
In $8000.0000 / 1M tokens
Out $35000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 18%
us.anthropic.claude-opus-4-5-20251101-v1:0
bedrock_converse
In $5.5000 / 1M tokens
Out $27.5000 / 1M tokens
imagepdf
Output: text
Low overlap
64.0K
Partial I/O overlap
Overall 15%
databricks-claude-opus-4-5
databricks
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
Output: unknown
Low overlap
64.0K
Partial I/O overlap
Overall 15%
DeepSeek-V3.1
wandb
In $55000.0000 / 1M tokens
Out $165000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 15%
GLM-4.5
wandb
In $55000.0000 / 1M tokens
Out $200000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 14%
gpt-oss-20b
wandb
In $5000.0000 / 1M tokens
Out $20000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 13%
Qwen3-235B-A22B-Instruct-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 11%
ai21.jamba-1-5-large-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 4%
ai21.jamba-1-5-mini-v1:0
Bedrock
In $0.2000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 4%
ai21.j2-ultra-v1
Bedrock
In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 2%
ai21.j2-mid-v1
Bedrock
In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 2%
us.writer.palmyra-x4-v1:0
bedrock_converse
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
pdftext
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 2%
ai21.jamba-instruct-v1:0
Bedrock
In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Low overlap
4.1K
Partial I/O overlap
Overall 1%