Llama 3.3 70B Instruct
Llama · text → text
Input$0.6 /M
Output$1.2 /M
← ModelsLlama 3.3 70B Instruct
Qwen3.8 Max Preview
Llama 3.3 70B Instruct vs Qwen3.8 Max Preview
Compare Llama 3.3 70B Instruct from Llama and Qwen3.8 Max Preview 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 Preview+ Add model · 2/4
Qwen3.8 Max Preview
Qwen · text, image → text
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
Input$0.338 /M
Output$1.014 /M
Cache read$0.0338 /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 Preview
Input /M
$0.6
$0.338
Output /M
$1.2
$1.014
Cache read /M
-
$0.0338
Context length
131,072
983,616
Max output
0
131,072
Time to First Token
1.9 s
2.4 s
Throughput
14.3 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
long context
toolsfunction callingstructured outputsweblong contextthinking
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-instructqwen3.8-max-preview
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-preview
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-preview
1260134014201500
Overall
13171480
Coding
13461520
Math
12961497
Hard prompts
13201502
Instruction following
12921477
Multi-turn
13161493
Creative writing
12851466
Longer query
13131492
Chinese
12931536
English
13441488
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.
Qwen3.8 Max Preview
$35.49 /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, Qwen3.8 Max Preview?
Qwen3.8 Max Preview: $1.014/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?
Qwen3.8 Max Preview: 1520; Llama 3.3 70B Instruct: 1346 (LMArena coding leaderboard).
Which responds faster?
Llama 3.3 70B Instruct: 1.9s 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 Qwen3.8 Max Preview accepts 983,616 input tokens.
Which one generates tokens faster?
Qwen3.8 Max Preview at 48.1 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; Qwen3.8 Max Preview accepts text and image 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 Preview 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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