Qwen3 8B vs Llama 4 Scout 17B Instruct
Llama 4 Scout 17B Instruct comes out ahead, 62 to 56 on our weighted score, though Qwen3 8B is 9% cheaper per token.
Alibaba (Qwen)
Qwen3 8B
56/100- ECI136.2
- Price$0.18 / $0.70
- Context131K
- Our pick
Meta
Llama 4 Scout 17B Instruct
62/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
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Llama 4 Scout 17B Instruct is our pick
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Qwen3 8B (56). It leads on inputs & features and context window. Qwen3 8B wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 8BCapabilities Index (ECI): Qwen3 8B 136.2 · Llama 4 Scout 17B Instruct 129.7
- Lowest priceQwen3 8BQwen3 8B $0.31 · Llama 4 Scout 17B Instruct $0.341 per 1M tokens (3:1 blend)
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Qwen3 8B 131,072 tokens
- Widest inputsLlama 4 Scout 17B InstructQwen3 8B: Text · Llama 4 Scout 17B Instruct: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3 8B | Llama 4 Scout 17B Instruct |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 61 | 52 |
| Price | 25% | 74 | 72 |
| Inputs & features | 15% | 35 | 50 |
| Context window | 10% | 24 | 100 |
| Overall | 100% | 56/100 | 62/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 136.2 (best) | 129.7 |
| ECI rank | #113 of 148 (best) | #126 of 148 |
| GPQA DiamondGraduate-level science questions | 56.8% (best) | 51.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 56.1% (best) | 7.8% |
| Price per million tokens | ||
| Input | $0.18 (best) | $0.225 |
| Output | $0.70 | $0.69 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.31 (best) | $0.341 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 4 providers |
| Limits | ||
| Context window | 131,072 tokens | 10,000,000 tokens (best) |
| Max output | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | qwen3-8b | — |
| API providers | 1 | 4 (best) |
| Released | Apr 28, 2025 | Apr 5, 2025 |
| Knowledge cutoff | Apr 2025 | Aug 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3 8B$3.20
Llama 4 Scout 17B Instruct$3.63
Which should you choose?
Which is better: Qwen3 8B or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Qwen3 8B (56). It leads on inputs & features and context window. Qwen3 8B wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 8B or Llama 4 Scout 17B Instruct?
Qwen3 8B is cheaper at $0.18 input / $0.70 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 $0.31 per million tokens for Qwen3 8B versus $0.341 for Llama 4 Scout 17B Instruct (1.1× as much).
Which scores higher on benchmarks?
Qwen3 8B scores higher on the Capabilities Index (ECI): Qwen3 8B 136.2 (#113 of 148) and Llama 4 Scout 17B Instruct 129.7 (#126 of 148). The confidence ranges of the top two overlap (129.7–138.1 vs 124.8–131.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 8B 56.8%, Llama 4 Scout 17B Instruct 51.8%; OTIS Mock AIME 2024–2025 — Qwen3 8B 56.1%, Llama 4 Scout 17B Instruct 7.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 8B and Llama 4 Scout 17B Instruct yet, so there is no like-for-like coding score. On overall capability, Qwen3 8B leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 131,072 for Qwen3 8B. Maximum output per response: Qwen3 8B up to 8,192, Llama 4 Scout 17B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Qwen3 8B accepts text; Llama 4 Scout 17B Instruct accepts text and images. Llama 4 Scout 17B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Qwen3 8B is the newest, released Apr 28, 2025. Llama 4 Scout 17B Instruct came out Apr 5, 2025. Knowledge cutoff: Qwen3 8B Apr 2025, Llama 4 Scout 17B Instruct Aug 2024.
How do you decide the winner?
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.