multimodal model comparison
GPT-4.1 nano vs Qwen3.8-Omni-Flash
GPT-4.1 nano and Qwen3.8-Omni-Flash are both current multimodal models, from OpenAI and Alibaba Qwen. GPT-4.1 nano is 33% cheaper per 1M input tokens than Qwen3.8-Omni-Flash, $0.10 vs $0.15. Both accept about 1.05M tokens of context (1,047,576 and 1,000,000).
Data verified October 12, 2026 · Dataset 2026-10-12
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | GPT-4.1 nano | Qwen3.8-Omni-Flash |
|---|---|---|
| Price per 1M input tokens | $0.10 (better) | $0.15 |
| Price per 1M output tokens | $0.40 (better) | $0.47 |
| Cost of 10M input and 2M output tokens | $1.80 (better) | $2.44 |
| Arena Text | 1322 Elo (#39 of 39) | Not measured |
| GPQA Diamond | 48.9% (#37 of 37) | Not measured |
| SimpleQA Verified | 6% (#34 of 34) | Not measured |
| Provider | OpenAI | Alibaba Qwen |
| Release date | April 14, 2025 | September 20, 2026 |
| Access | API only | API only |
| Context window | 1,047,576 tokens | 1,000,000 tokens |
| Max output | 32,768 tokens | 131,072 tokens |
| Input | text, image | text, image, audio, video |
| Output | text | text |
When to choose each
GPT-4.1 nano
Best for
- High-volume API screening at low published token prices
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
Qwen3.8-Omni-Flash
Best for
- Long audio and video understanding at low cost
- Agent pipelines that must reason over meetings, calls or recorded media
Watch out for
- Output is text only; for spoken replies Alibaba lists a separate realtime variant
- Alibaba's comparisons with Gemini 3.8 Flash are self-reported and have not been reproduced independently here
- The release date is the Alibaba Cloud announcement date, 2026-09-20
GPT-4.1 nano vs Qwen3.8-Omni-Flash FAQ
Which is cheaper, GPT-4.1 nano or Qwen3.8-Omni-Flash?
GPT-4.1 nano is 33% cheaper per 1M input tokens than Qwen3.8-Omni-Flash, $0.10 vs $0.15. For 10M input and 2M output tokens, GPT-4.1 nano costs $1.80 and Qwen3.8-Omni-Flash $2.44 at standard rates.
Which has the larger context window, GPT-4.1 nano or Qwen3.8-Omni-Flash?
Both accept about 1.05M tokens of context (1,047,576 and 1,000,000).
Related comparisons
- Claude Haiku 5.5 vs GPT-4.1 nano
- Claude Haiku 5.5 vs Qwen3.8-Omni-Flash
- Gemini 3.1 Flash-Lite vs GPT-4.1 nano
- Gemini 3.1 Flash-Lite vs Qwen3.8-Omni-Flash
- GPT-4.1 mini vs GPT-4.1 nano
- GPT-4.1 nano vs GPT-5.6 Luna
- GPT-4.1 nano vs GPT-6 Luna
- GPT-4.1 vs GPT-4.1 nano
- GPT-5.6 Luna vs Qwen3.8-Omni-Flash
- Qwen3.8-Max vs Qwen3.8-Omni-Flash
Production evaluation
Choosing between GPT-4.1 nano and Qwen3.8-Omni-Flash?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty