Llama 4 Scout 17B Instruct vs Qwen Turbo

It is close. Our weighted score puts them within 2 points (Llama 4 Scout 17B Instruct 50/100, Qwen Turbo 48/100), so choose by what matters most for your work: Llama 4 Scout 17B Instruct for raw capability and Qwen Turbo on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Qwen Turbo has no Capabilities Index score yet.

Qwen Turbo is cheaper at $0.05 input / $0.20 output per million tokens (official Alibaba API price). Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.087 per million tokens for Qwen Turbo versus $0.341 for Llama 4 Scout 17B Instruct (3.9× as much).

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): Llama 4 Scout 17B Instruct 29.8% and Qwen Turbo 24.0%. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, Qwen Turbo 41.8%; OTIS Mock AIME 2024–2025 — Llama 4 Scout 17B Instruct 7.8%, Qwen Turbo 6.1%.

There are no published SWE-bench Verified results for Llama 4 Scout 17B Instruct and Qwen Turbo yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 1,000,000 for Qwen Turbo. Maximum output per response: Llama 4 Scout 17B Instruct up to 16,384, Qwen Turbo up to 16,384 tokens.

Llama 4 Scout 17B Instruct accepts text and images; Qwen Turbo accepts text. Llama 4 Scout 17B Instruct handles the widest range of inputs.

Llama 4 Scout 17B Instruct publishes its weights and can be self-hosted; Qwen Turbo is proprietary.

Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Qwen Turbo came out Nov 1, 2024. Knowledge cutoff: Llama 4 Scout 17B Instruct Aug 2024, Qwen Turbo Apr 2024.

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.