Llama 3.3 70B Instruct
Llama · text → text
Input$0.6 /M
Output$1.2 /M
← ModelsLlama 3.3 70B Instruct
Qwen3.8 Max
Llama 3.3 70B Instruct vs Qwen3.8 Max
Compare Llama 3.3 70B Instruct from Llama and Qwen3.8 Max from Qwen 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 InstructQwen3.8 Max+ Add model · 2/4
Qwen3.8 Max
Qwen · text, image, video → text
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /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
Qwen3.8 Max
Input /M
$0.6
$1.69
Output /M
$1.2
$5.07
Cache read /M
-
$0.169
Context length
131,072
1,000,000
Max output
0
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
long context
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
December 6, 2024
August 3, 2026
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-instructqwen3.8-max
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-instructqwen3.8-max
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-instructqwen3.8-max
1300136014201480
Overall
13181482
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 3.3 70B Instruct
$54.00 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Llama 3.3 70B Instruct, Qwen3.8 Max?
Llama 3.3 70B Instruct: $1.2/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
Llama 3.3 70B Instruct accepts 131,072 and Qwen3.8 Max accepts 1,000,000 input tokens.
What inputs and capabilities does each model support?
Llama 3.3 70B Instruct accepts text input and supports long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call Llama 3.3 70B Instruct and Qwen3.8 Max 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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