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Llama-3.3-70B-Instruct-Turbo

deepinfra · chat model

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

Input
$0.1300 / 1M tokens
Output
$0.3900 / 1M tokens
Cached input
N/A
Context
131.1K
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
$0.1300 / 1M tokens
Output
$0.3900 / 1M tokens
Embedding
$0.1300 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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

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-Turbo
deepinfra
In $0.1300 / 1M tokens
Out $0.3900 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
QwQ-32B
deepinfra
In $0.1500 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 99%
Llama-3.3-Nemotron-Super-49B-v1.5
deepinfra
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 98%
Llama-3.3-70B-Instruct
deepinfra
In $0.2300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 96%
Meta-Llama-3.1-70B-Instruct-Turbo
deepinfra
In $0.1000 / 1M tokens
Out $0.2800 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 95%
Meta-Llama-3.1-70B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 94%
gpt-oss-120b
deepinfra
In $0.0500 / 1M tokens
Out $0.4500 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 93%
Qwen2.5-72B-Instruct
deepinfra
In $0.1200 / 1M tokens
Out $0.3900 / 1M tokens
text
Output: text
Function callingTool choice
32.8K
Same provider
Overall 88%
Phi-4
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 84%
Llama-3.3-70B-Instruct
azure_ai
In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Text covered
Overall 73%
gpt-3.5-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 71%
gpt-35-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 71%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 67%
gpt-4-0613
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 66%
gemini-2.0-flash-001
deepinfra
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
text audiocode
Output: text
Function callingTool choice
1.0M
Same provider
Overall 65%
Llama-3.3-70B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function calling
128.0K
Partial I/O overlap
Overall 47%
Missing text
Meta-Llama-3.1-70B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function calling
128.0K
Partial I/O overlap
Overall 47%
Missing text
Qwen2.5-72B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function calling
128.0K
Partial I/O overlap
Overall 47%
Missing text
Qwen2.5-VL-72B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function calling
131.1K
Partial I/O overlap
Overall 43%
Missing text
Qwen2-VL-72B-Instruct
nebius
In $0.1300 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: unknown
Function calling
131.1K
Partial I/O overlap
Overall 43%
Missing text