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Llama-3.3-8B-Instruct

meta_llama · chat model

Llama-3.3-8B-Instruct is listed here as a chat model from meta_llama. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
N/A
Output
N/A
Cached input
N/A
Context
4.0K

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

Token limits

Context window
4.0K
Max input tokens
128.0K
Max output tokens
4.0K
Max tokens
4.0K

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
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

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-3.3-8B-Instruct
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In N/A
Out N/A
Output: text
Function callingTool choice
4.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
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In N/A
Out N/A
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Function callingTool choice
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In N/A
Out N/A
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Function callingTool choice
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Llama-4-Scout-17B-16E-Instruct-FP8
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In N/A
Out N/A
Output: text
Function callingTool choice
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Overall 56%
ministral-3b
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Out $0.0400 / 1M tokens
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Function callingTool choice
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Out $0.9000 / 1M tokens
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Function callingTool choice
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In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
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Function callingTool choice
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Partial I/O overlap
Overall 56%
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
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Partial I/O overlap
Overall 56%
gpt-35-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
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Partial I/O overlap
Overall 56%
gpt-35-turbo-16k-0613
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 56%
gpt-4
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 56%
gpt-4-0613
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
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Partial I/O overlap
Overall 56%
Llama-3.3-70B-Instruct
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In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Partial I/O overlap
Overall 49%
Llama-3.2-3B-Instruct
deepinfra
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 41%
paddleocr-vl
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In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
Low overlap
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Partial I/O overlap
Overall 20%
llama3.2-3b-instruct
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 13%
llama3.2-11b-vision-instruct
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 10%
titan-embed-text-v2
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In $0.0200 / 1M tokens
Out N/A
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Low overlap
0
Partial I/O overlap
Overall 0%
Qwen2.5-Coder-3B-Instruct
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In $0.0100 / 1M tokens
Out $0.0300 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 0%