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deepseek-llama3.3-70b

lambda_ai · chat model

deepseek-llama3.3-70b is listed here as a chat model from lambda_ai. 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
$0.6000 / 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
$0.2000 / 1M tokens
Output
$0.6000 / 1M tokens
Embedding
$0.2000 / 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

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
deepseek-llama3.3-70b
lambda_ai
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
deepseek-r1-0528
lambda_ai
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 60%
deepseek-v3-0324
lambda_ai
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 55%
minimax-m2
novita
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Partial I/O overlap
Overall 52%
deepseek-r1-671b
lambda_ai
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 51%
glm-4.5-air
novita
In $0.1300 / 1M tokens
Out $0.8500 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Partial I/O overlap
Overall 50%
gpt-oss-120b
Together AI
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
131.1K
Partial I/O overlap
Overall 49%
hermes3-70b
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 46%
llama3.1-70b-instruct-fp8
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 46%
llama3.1-nemotron-70b-instruct-fp8
lambda_ai
In $0.1200 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceSystem messages
131.1K
Same provider
Overall 46%
qwen3-32b-fp8
lambda_ai
In $0.0500 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingParallel function callingTool choiceReasoning
131.1K
Same provider
Overall 44%
Qwen2.5-VL-32B-Instruct
deepinfra
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
imagetext
Output: text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 43%
glm-4.5
novita
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
98.3K
Partial I/O overlap
Overall 42%
qwen3-235b-a22b-thinking-2507
novita
In $0.3000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
32.8K
Partial I/O overlap
Overall 37%
minimax-m1-80k
novita
In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceReasoning
40.0K
Partial I/O overlap
Overall 36%
DeepSeek-R1-Distill-Llama-70B
deepinfra
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Low overlap
131.1K
Partial I/O overlap
Overall 35%
Qwen3-235B-A22B
nebius
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function calling
262.1K
Partial I/O overlap
Overall 33%
llama-4-maverick-17b-128e-instruct
Groq
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choice
8.2K
Partial I/O overlap
Overall 28%