Llama 3.3 70B (Meta) vs Qwen3.8-2.4T-A95B
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Meta
2 providers:
Meta $0.590/$0.790
Together $1.04/$1.04
|
by Alibaba
|
|---|---|---|
| Overview | ||
| Status | Current open weights Open weights | Current open weights Open weights |
| Released | Dec 6, 2024 | Aug 8, 2026 |
| Pricing per million tokens | ||
| Input | $0.590/Mtok | $2.00/Mtok |
| Output | $0.790/Mtok | $6.00/Mtok |
| Blended avg | $0.640/Mtok | $3.00/Mtok |
| Specifications | ||
| Context window | 128K tokens | 1M tokens |
| Parameters | 70B | 2.4T (A95B) |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Vellum LLM Leaderboard / Artificial Analysis | ||
| Avg benchmark score | 46.6 | — |
| Perf / dollar | 72.8 | — |
| GPQA Diamond | 50.5 | — |
| SWE-Bench Verified | 22 | — |
| Humanity's Last Exam | 10 | — |
| ARC-AGI 2 | 12 | — |
| AIME 2025 | 38 | — |
| MMMLU | 72 | — |
| BFCL | 77.3 | — |
| HumanEval | 78 | — |
| MATH 500 | 60 | — |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | — | 57.7 |
| AA Agentic Index | — | 57.1 |
| AA-Omniscience Index (−100–100) | — | 4.3 |
| Providers | ||
| Available from |
Meta — $0.590/$0.790/Mtok
Together — $1.04/$1.04/Mtok
|
Alibaba — $2.00/$6.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Llama 3.3 70B | Qwen3.8-2.4T-A95B | Savings |
|---|---|---|---|
| 1M tokens | $0.64 | $3 | $2.36 (78.7%) |
| 10M tokens | $6.4 | $30 | $23.6 (78.7%) |
| 100M tokens | $64 | $300 | $236 (78.7%) |
| 1000M tokens | $640 | $3000 | $2360 (78.7%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.640/Mtok blended vs $3.00 — 78.7% less on the same 50/50 token mix
- provider flexibility: available from 2 providers, so you can price-shop hosts or fail over
- you need the longer context: 1M tokens vs 128K (7.8×)
Summary
Llama 3.3 70B by Meta costs $0.590/Mtok input and $0.790/Mtok output, with a 128K-token context window. It supports text input and is available from 2 providers.
Qwen3.8-2.4T-A95B by Alibaba costs $2.00/Mtok input and $6.00/Mtok output, with a 1M-token context window. It supports text input.
On a blended cost basis, Llama 3.3 70B is 78.7% cheaper than Qwen3.8-2.4T-A95B.
The two aren't directly comparable on average benchmark score: Llama 3.3 70B has published per-benchmark results, while Qwen3.8-2.4T-A95B does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.