Qwen3-32B vs Llama 4 Scout
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by DeepInfra
3 providers:
Alibaba $0.160/$0.640
Groq $0.290/$0.590
DeepInfra $0.080/$0.280
|
by DeepInfra
3 providers:
Groq $0.110/$0.340
Meta $0.110/$0.340
DeepInfra $0.100/$0.300
|
|---|---|---|
| Overview | ||
| Status | Current budget Open weights | Current open weights Open weights |
| Released | Jan 1, 2026 | Apr 6, 2025 |
| Pricing per million tokens | ||
| Input | $0.080/Mtok | $0.100/Mtok |
| Output | $0.280/Mtok | $0.300/Mtok |
| Blended avg | $0.130/Mtok | $0.150/Mtok |
| Specifications | ||
| Context window | 128K tokens | 10M tokens |
| Parameters | 32B | 17B (16 experts) |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimage
|
| Benchmarks sources: LMSYS Chatbot Arena (UC Berkeley) / Vellum LLM Leaderboard (Jun 2026), Meta model card | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 11.4 | 10.3 |
| AA Agentic Index | 1.8 | 1.1 |
| AA-Omniscience Index (−100–100) | -50.4 | -52.1 |
| Per-benchmark results published for Llama 4 Scout only — no independent per-benchmark scores exist for Qwen3-32B yet | ||
| Avg benchmark score | — | 46.8 |
| Perf / dollar | — | 312 |
| GPQA Diamond | — | 57.2 |
| SWE-Bench Verified | — | 28 |
| LiveCodeBench | — | 32.8 |
| Humanity's Last Exam | — | 12 |
| ARC-AGI 2 | — | 15 |
| AIME 2025 | — | 45 |
| MMMLU | — | 75 |
| BFCL | — | 58 |
| HumanEval | — | 80 |
| MATH 500 | — | 65 |
| Providers | ||
| Available from |
Alibaba — $0.160/$0.640/Mtok
Groq — $0.290/$0.590/Mtok
DeepInfra — $0.080/$0.280/Mtok
|
Groq — $0.110/$0.340/Mtok
Meta — $0.110/$0.340/Mtok
DeepInfra — $0.100/$0.300/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3-32B | Llama 4 Scout | Savings |
|---|---|---|---|
| 1M tokens | $0.13 | $0.15 | $0.02 (13.3%) |
| 10M tokens | $1.3 | $1.5 | $0.2 (13.3%) |
| 100M tokens | $13 | $15 | $2 (13.3%) |
| 1000M tokens | $130 | $150 | $20 (13.3%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.130/Mtok blended vs $0.150 — 13.3% less on the same 50/50 token mix
- you need the longer context: 10M tokens vs 128K (78.1×)
Summary
Qwen3-32B by DeepInfra costs $0.080/Mtok input and $0.280/Mtok output, with a 128K-token context window. It supports text input and is available from 3 providers.
Llama 4 Scout by DeepInfra costs $0.100/Mtok input and $0.300/Mtok output, with a 10M-token context window. It supports text, image input and is available from 3 providers.
On a blended cost basis, Qwen3-32B is 13.3% cheaper than Llama 4 Scout.
The two aren't directly comparable on average benchmark score: Llama 4 Scout has published per-benchmark results, while Qwen3-32B 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.