Head to head
QW Qwen3 30B A3B Instruct 2507vs ME Llama 3.1 8B InstructFor light moderate heavy tasks, about a month.
Verdict · measured basis
Llama 3.1 8B Instruct costs $0.0000 per solved task against
Qwen3 30B A3B Instruct 2507 at $0.0000 — ▼ 1.1x cheaper .
Over 200 tasks that is $0.00 a month.
On output token price alone Llama 3.1 8B Instruct looks 2.4x cheaper. The ranking holds, but the margin changes.
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Verified pricing, pass rate and cost per solved task for Qwen3 30B A3B Instruct 2507 and Llama 3.1 8B Instruct Figure Qwen3 30B A3B Instruct 2507 Llama 3.1 8B Instruct Input $/Mtok $0.048 $0.05 Output $/Mtok $0.193 $0.08 Cached input $/Mtok $0.048 $0.025 Pass rate 69% 42% Cost per solved task $0.0000 measured $0.0000 measured Cost per month $0.01 $0.01
Cost per month against tasks per month · drag the marker
Monthly cost against tasks per month Log-log lines for Llama 3.1 8B Instruct (measured, $0.0000 per solved task), Qwen3 30B A3B Instruct 2507 (measured, $0.0000 per solved task) from 10 to 100,000 tasks a month. Marker at 200 tasks. 10 100 1k 10k 100k $0.001 $0.01 $0.1 $1 TASKS / MONTH (log) → 200 tasks Llama 3.1 8B Instruct · MEASURED · $0.0000 per solved task $0.01 Llama 3.1 8B Instruct MEASURED Qwen3 30B A3B Instruct 2507 · MEASURED · $0.0000 per solved task $0.01 Qwen3 30B A3B Instru… MEASURED Monthly cost against tasks per month Log-log lines for Llama 3.1 8B Instruct (measured, $0.0000 per solved task), Qwen3 30B A3B Instruct 2507 (measured, $0.0000 per solved task) from 10 to 100,000 tasks a month. Marker at 200 tasks. 10 100 1k 10k 100k $0.001 $0.01 $0.1 $1 TASKS / MONTH (log) → 200 tasks Llama 3.1 8B Instruct · MEASURED · $0.0000 per solved task $0.01 Qwen3 30B A3B Instruct 2507 · MEASURED · $0.0000 per solved task $0.01 — Llama 3.1 8B Instruct · MEASURED — Qwen3 30B A3B Instruct 2507 · MEASURED Solid measured · dashed modeled · dotted stale. The gap is the verdict.
Solvency Bench (solvency.dev) — first-party measurement · verified 2026-08-26 · prices from each provider's pricing page; measured rows ignore the tier · Methodology · All models at these settings