# GPT-5.4 nano vs Qwen3.8-Omni-Flash

> Side-by-side benchmark comparison for GPT-5.4 nano and Qwen3.8-Omni-Flash across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-4-nano-vs-qwen3-8-omni-flash
- Last updated: September 18, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: GPT-5.4 nano and Qwen3.8-Omni-Flash share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Qwen3.8-Omni-Flash has the lower published output-token price.
- Qwen3.8-Omni-Flash has the larger published context window at 1M.

## Model Snapshot

| Property | GPT-5.4 nano | Qwen3.8-Omni-Flash |
|----------|----------|----------|
| Creator | OpenAI | Alibaba |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 400K | 1M |
| Independent public score (not head-to-head) | 59.42 | null |
| Benchmarks Covered | 18 | 19 |
| Pricing (input/output) | $0.20 / $1.25 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 34.5 (Supported · #137/154)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 46.3% | Coming soon | Coming soon |
| OSWorld-Verified | 39% | Coming soon | Coming soon |
| MCP Atlas | 56.1% | Coming soon | Coming soon |
| Toolathlon | 35.5% | Coming soon | Coming soon |
| τ²-bench results | 92.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 41.6% | Coming soon | Coming soon |
| CoWorkBench | Coming soon | 75.3% | Coming soon |
| AndroidWorld | Coming soon | 87.1% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 37.1 (Supported · #129/154)
- Qwen3.8-Omni-Flash public-lane score: 53.5 (Estimated · #45/154)

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 26.10% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 84.0% | Coming soon | Coming soon |
| SWE-bench (Vals) | 69.8% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 63.3% | Coming soon |
| SWE Multilingual | Coming soon | 80.5% | Coming soon |
| NL2Repo | Coming soon | 48.9% | Coming soon |
| DeepSWE | Coming soon | 57.8% | Coming soon |
| LiveCodeBench v6 | Coming soon | 92.6% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 23.8 (#45/48)
- Qwen3.8-Omni-Flash public-lane score: 85.1 (Unranked · 7 rankable rows)

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 66.1% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 69.5% | Coming soon | Coming soon |
| Vision2Web | Coming soon | 62.9% | Coming soon |
| ERQA | Coming soon | 71.0% | Coming soon |
| LVBench | Coming soon | 76.9% | Coming soon |
| RealWorldQA | Coming soon | 87.7% | Coming soon |
| MathVision | Coming soon | 91.8% | Coming soon |
| MathVision w/ Python | Coming soon | 96.2% | Coming soon |
| CharXiv w/o tools | Coming soon | 83.5% | Coming soon |
| CharXiv | Coming soon | 91.4% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 73.7 (Unranked · 2 rankable rows)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 47.5 (Supported · #98/184)
- Qwen3.8-Omni-Flash public-lane score: 54.9 (Estimated · #54/184)

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 82.8% | 91% | Qwen3.8-Omni-Flash |
| HLE | 37.7% | 36.5% | GPT-5.4 nano |
| HLE w/o tools | 24.3% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 77.5% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 77.2% | Coming soon | Coming soon |
| GPQA-D | Coming soon | 91.0% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 91.9 (#9/124)
- Qwen3.8-Omni-Flash public-lane score: 87.7 (#29/124)

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 81.5% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- GPT-5.4 nano public-lane score: 43.8 (Unranked · 2 rankable rows)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GPT-5.4 nano | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 25.860% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 6.250% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GPT-5.4 nano and Qwen3.8-Omni-Flash?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GPT-5.4 nano vs GPT-5.4](/compare/gpt-5-4-vs-gpt-5-4-nano)
- [Qwen3.8-Omni-Flash vs GPT-5.4](/compare/gpt-5-4-vs-qwen3-8-omni-flash)
- [GPT-5.4 nano vs GPT-5.4 mini](/compare/gpt-5-4-mini-vs-gpt-5-4-nano)
- [Qwen3.8-Omni-Flash vs GPT-5.4 mini](/compare/gpt-5-4-mini-vs-qwen3-8-omni-flash)

## Explore More

- [GPT-5.4 nano profile](/models/gpt-5-4-nano)
- [Qwen3.8-Omni-Flash profile](/models/qwen3-8-omni-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)