← Models

Llama 3.3 70B vs Qwen3.8 Max Preview

Compare Llama 3.3 70B 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.

LlamaLlama 3.3 70BQwenQwen3.8 Max Preview
Llama logo
Llama 3.3 70B
Llama · → text

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

Input$0.6 /M
Output$0.6 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image, video → 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
Qwen3.8 Max Preview
Input /M
$0.6
$0.338
Output /M
$0.6
$1.014
Cache read /M
-
$0.0338
Context length
65,536
1,000,000
Max output
8,192
131,072
Time to First Token
0.3 s
2.4 s
Throughput
3250.0 tok/s
48.1 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
December 6, 2024
July 19, 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-3.3-70bqwen3.8-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-3.3-70bqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
llama-3.3-70bqwen3.8-max-preview
1260134014201500
Overall
13181480
Coding
13451520
Math
12961497
Hard prompts
13211502
Instruction following
12921477
Multi-turn
13171493
Creative writing
12861466
Longer query
13121492
Chinese
12911536
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
$45.00 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Llama 3.3 70B, Qwen3.8 Max Preview?

Llama 3.3 70B: $0.6/M output tokens; Qwen3.8 Max Preview: $1.014/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: 1345 (LMArena coding leaderboard).

Which responds faster?

Llama 3.3 70B: 0.3s 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 accepts 65,536 and Qwen3.8 Max Preview accepts 1,000,000 input tokens. Maximum output per request is 8,192 tokens on Llama 3.3 70B and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Llama 3.3 70B at 3250.0 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

Can I call Llama 3.3 70B 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.

Popular comparisons

Related model match-ups readers also look at.