Model comparison
Llama vs Qwen: Llama 4 Maverick and Qwen3.8 Flash
Choose Qwen3.8 Flash for the lower Novita token prices ($0.15/$0.47 vs $0.27/$0.85 per 1M input/output tokens); Llama 4 Maverick remains a non-reasoning image-and-text option with a listed 1M context.
| Dimension | Winner | Margin | Evidence |
|---|---|---|---|
| Coding benchmark | Qwen3.8-Flash-Next | +18.9 pp reported score gap | Artificial Analysis (AA) SciCode: Qwen3.8-Flash-Next 50.6% vs Llama 4 Maverick 31.7%6 |
| Reasoning benchmark | Qwen3.8-Flash-Next | +21.9 pp reported score gap | GPQA Diamond: Qwen3.8-Flash-Next 91.7% vs Llama 4 Maverick 69.8%12 |
| Estimated request cost | Qwen3.8 Flash | $0.00158 difference per example | Qwen3.8 Flash $0.00197 vs Llama 4 Maverick $0.0035534 |
Official benchmark results
Official benchmark results
Llama 4 Maverick and Qwen3.8-Flash-Next are the evaluated references; the price/specification table separately describes Novita’s Qwen3.8 Flash API.
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Performance
Performance
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Pricing
Pricing
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| Metric | Llama 4 Maverick | Qwen3.8 Flash |
|---|---|---|
| Input / 1M tokens34 | $0.27 | $0.15 |
| Output / 1M tokens34 | $0.85 | $0.47 |
| Context window (tokens)34 | 1M | 977K |
| Max output (tokens)34 | 8K | 128K |
| API and model ID34 | meta-llama/llama-4-maverick-17b-128e-instruct-fp8 | qwen/qwen3.8-flash |
Which to choose
Coding, reasoning, context and cost
Llama 4 Maverick
- For GPQA-led reasoning, prefer the Flash-Next reference over Llama 4 Maverick, which reports 69.8% on GPQA Diamond.
- Choose Llama’s API for the larger listed context window, 1M, but its output cap is 8K; the fixed-token request example costs $0.00355.
- Choose Llama for non-reasoning replies: AA’s illustrative first-answer estimate is 1.11 s versus 40.99 s for Flash-Next, which assumes 2,000 reasoning tokens.
Qwen3.8 Flash
- For benchmark-led reasoning, shortlist Qwen3.8-Flash-Next with its reported 91.7% on GPQA Diamond; the Flash API is listed separately.
- For longer generated answers and lower fixed-token cost, choose the Flash API: 977K context, 128K max output and a $0.00197 request example.
- For coding, shortlist Flash-Next: it leads matched AA SciCode at 50.6% versus 31.7%; the separate Flash API allows 128K output versus Llama’s 8K.
Methodology
Methodology and sources
Llama 4 Maverick and Qwen benchmark rows come from the official model reports, with AA supplementing the coding comparison. Qwen3.8-Flash-Next is the open-weight basis used as a reference for the Flash API; its benchmark scores are not Novita endpoint measurements. The prices and token limits instead apply to Novita's named APIs, and AA output rates exclude the initial wait.
Novita AI publishes this Llama and Qwen comparison using public model evidence. The token-cost example fixes 10,000 input and 1,000 billed output tokens at uncached synchronous list prices, including any billed reasoning from Qwen. Tax, retries, discounts and capacity agreements are excluded; no private endpoint benchmark was run.
The coding comparison uses AA SciCode results: 31.7% for Llama 4 Maverick and 50.6% for Qwen3.8-Flash-Next. The official LiveCodeBench results cover different evaluation periods, so their score difference is not directly comparable.
The first-answer estimate uses the underlying unrounded AA first-chunk and output-speed fields to add the wait for 2,000 reasoning tokens; the table rounds the displayed inputs. For non-reasoning Llama, the added reasoning time is 0. This is an illustrative token budget, not a measured response time for a specific prompt.
- Llama 4 Maverick · Official Model Card huggingface.co · Checked 2026-10-15
- Qwen3.8-Flash-Next · Official Model Card huggingface.co · Checked 2026-10-15
- Llama 4 Maverick · Novita AI novita.ai · Checked 2026-10-15
- Qwen3.8 Flash · Novita AI novita.ai · Checked 2026-10-15
- Llama 4 Maverick · Artificial Analysis artificialanalysis.ai · Checked 2026-10-15
- Qwen3.8-Flash-Next · Artificial Analysis artificialanalysis.ai · Checked 2026-10-15
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