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Llama-3.3-70B-Instruct

nscale · chat model

Llama-3.3-70B-Instruct is listed here as a chat model from nscale. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
N/A
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
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Embedding
$0.2000 / 1M tokens

Token limits

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-3.3-70B-Instruct
nscale
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
No public capabilities
N/A
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
llama-v3p2-11b-vision-instruct
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 20%
llama3-8b-instruct
gradient_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
512
Partial I/O overlap
Overall 20%
llama-guard-4-12b
Groq
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 20%
QwQ-32B
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
131.1K
Partial I/O overlap
Overall 20%
DeepSeek-V3
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
32.8K
Partial I/O overlap
Overall 20%
Llama-3.3-70B-Instruct
crusoe
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
131.1K
Partial I/O overlap
Overall 20%
DeepSeek-R1-Distill-Qwen-7B
nscale
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 20%
QwQ-32B
nscale
In $0.1800 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 19%
DeepSeek-R1-Distill-Qwen-32B
nscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 15%
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 15%
Qwen2.5-Coder-32B-Instruct
nscale
In $0.0600 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 14%
Llama-4-Scout-17B-16E-Instruct
nscale
In $0.0900 / 1M tokens
Out $0.2900 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 12%
DeepSeek-R1-Distill-Llama-70B
nscale
In $0.3750 / 1M tokens
Out $0.3750 / 1M tokens
Output: unknown
Low overlap
N/A
Same provider
Overall 11%
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 7%
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 1%
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 1%
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 0%
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 0%