Llama 3.3 70B Instruct
Llama · text → text
Input$0.6 /M
Output$1.2 /M
← ModelsLlama 3.3 70B InstructLlama 4 Maverick
Llama 3.3 70B Instruct vs Llama 4 Maverick
Compare Llama 3.3 70B Instruct from Llama and Llama 4 Maverick from Llama on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Llama 3.3 70B InstructLlama 4 Maverick+ Add model · 2/4
Llama 4 Maverick
Llama · text, image → text
Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.
Input$0.2 /M
Output$0.2 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Llama 3.3 70B Instruct
Llama 4 Maverick
Input /M
$0.6
$0.2
Output /M
$1.2
$0.2
Cache read /M
-
-
Context length
131,072
1,048,576
Max output
0
32,000
Time to First Token
1.9 s
0.2 s
Throughput
14.3 tok/s
97.8 tok/s
Modalities
text
textimage
Supported Parameters
long context
toolsfunction callingstructured outputs
API Formats
Released
-
-
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
llama-3.3-70b-instructllama-4-maverick
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
llama-3.3-70b-instructllama-4-maverick
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
llama-3.3-70b-instructllama-4-maverick
1260130013401380
Overall
13171327
Coding
13461373
Math
12961319
Hard prompts
13201338
Instruction following
12921314
Multi-turn
13161324
Creative writing
12851307
Longer query
13131334
Chinese
12931330
English
13401344
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Llama 4 Maverick
$15.00 /mo
Llama 3.3 70B Instruct
$54.00 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Llama 3.3 70B Instruct, Llama 4 Maverick?
Llama 4 Maverick: $0.2/M output tokens; Llama 3.3 70B Instruct: $1.2/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Llama 4 Maverick: 1373; Llama 3.3 70B Instruct: 1346 (LMArena coding leaderboard).
Which responds faster?
Llama 4 Maverick: 0.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Llama 3.3 70B Instruct accepts 131,072 and Llama 4 Maverick accepts 1,048,576 input tokens.
Which one generates tokens faster?
Llama 4 Maverick at 97.8 tok/s and Llama 3.3 70B Instruct at 14.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Llama 3.3 70B Instruct accepts text input and supports long context; Llama 4 Maverick accepts text and image input and supports tool calling, function calling and structured outputs.
Can I call Llama 3.3 70B Instruct and Llama 4 Maverick with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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