# GPT-5.5 vs Qwen3.8-Flash-Next

> Side-by-side benchmark comparison for GPT-5.5 and Qwen3.8-Flash-Next across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-5-vs-qwen3-8-flash-next
- Last updated: October 10, 2026

- Shared sourced benchmarks: 7
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GPT-5.5 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GPT-5.5 has the higher overall point estimate 67.79 to 64.23. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in multimodal & grounded, where the averages are 75.5 for GPT-5.5 and 87.7 for Qwen3.8-Flash-Next.
- The biggest single benchmark swing is HLE in Knowledge, with scores of 52.2% and 35.9%.
- Qwen3.8-Flash-Next is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.5 also has the larger context window at 1M.

## Model Snapshot

| Property | GPT-5.5 | Qwen3.8-Flash-Next |
|----------|----------|----------|
| Creator | OpenAI | Alibaba |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Overall Score | 67.79 | 64.23 |
| Benchmarks Covered | 41 | 24 |
| Pricing (input/output) | $5.00 / $30.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GPT-5.5 public-lane score: 60.7 (Supported · #22/123)
- Qwen3.8-Flash-Next public-lane score: 59.5 (Estimated · #24/123)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 82% | Coming soon | Coming soon |
| CyberGym | 81.8% | Coming soon | Coming soon |
| BrowseComp | 84.4% | Coming soon | Coming soon |
| OSWorld-Verified | 78.7% | Coming soon | Coming soon |
| MCP Atlas | 75.3% | Coming soon | Coming soon |
| Toolathlon | 55.6% | Coming soon | Coming soon |
| τ²-bench results | 98% | Coming soon | Coming soon |
| Gert Labs | 72.93% | Coming soon | Coming soon |
| ResearchClawBench | 17.0% | Coming soon | Coming soon |
| OSWorld 2.0 | 13.0% | 19.4% | Qwen3.8-Flash-Next |
| JobBench | 42.7% | 55.7% | Qwen3.8-Flash-Next |
| ExploitGym | 13.4% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 76.4% | Coming soon | Coming soon |
| ApprenticeBench | 20% | Coming soon | Coming soon |
| CoWorkBench | Coming soon | 73.9% | Coming soon |
| Agents' Last Exam | Coming soon | 51.2% | Coming soon |
| Toolathlon-Verified | Coming soon | 73.5% | Coming soon |
| AndroidWorld | Coming soon | 84.5% | Coming soon |

### Coding

- Winner: GPT-5.5
- GPT-5.5 public-lane score: 62.1 (Supported · #15/146)
- Qwen3.8-Flash-Next public-lane score: 52.4 (Supported · #37/146)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 58.6% | 62.5% | Qwen3.8-Flash-Next |
| Terminal-Bench 2.0 | 82.0% | Coming soon | Coming soon |
| Vibe Code Bench | 69.85% | Coming soon | Coming soon |
| React Native Evals | 84.7% | Coming soon | Coming soon |
| cursorBench31 | 59.2% | Coming soon | Coming soon |
| CursorBench 3.2 | 58.4% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 43.0% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.3% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.6% | Coming soon | Coming soon |
| PostTrainBench v1.1 | 27.2% | Coming soon | Coming soon |
| SWE Multilingual | Coming soon | 81% | Coming soon |
| NL2Repo | Coming soon | 48.1% | Coming soon |
| DeepSWE | Coming soon | 58.7% | Coming soon |
| LiveCodeBench v6 | Coming soon | 91.9% | Coming soon |

### Reasoning

- Winner: Not comparable
- GPT-5.5 public-lane score: 69.7 (#20/28)
- Qwen3.8-Flash-Next public-lane score: 80.9 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 64K-128K | 83.1% | Coming soon | Coming soon |
| MRCR v2 128K-256K | 87.5% | Coming soon | Coming soon |
| ARC-AGI-2 | 85% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.4% | Coming soon | Coming soon |
| ARC-AGI-1 | 95.00% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Directional only
- GPT-5.5 public-lane score: 75.5 (#23/54)
- Qwen3.8-Flash-Next public-lane score: 87.7 (#8/54)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 81.2% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 83.2% | Coming soon | Coming soon |
| OfficeQA Pro | 54.1% | Coming soon | Coming soon |
| Vision2Web | Coming soon | 64.0% | Coming soon |
| ERQA | Coming soon | 72.3% | Coming soon |
| LVBench | Coming soon | 76.6% | Coming soon |
| RealWorldQA | Coming soon | 88.5% | Coming soon |
| MathVision | Coming soon | 90.6% | Coming soon |
| MathVision w/ Python | Coming soon | 95.7% | Coming soon |
| CharXiv w/o tools | Coming soon | 84.6% | Coming soon |
| CharXiv | Coming soon | 90.6% | Coming soon |

### Knowledge

- Winner: GPT-5.5
- GPT-5.5 public-lane score: 70.6 (Supported · #15/177)
- Qwen3.8-Flash-Next public-lane score: 59.4 (Supported · #47/177)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 93.6% | 91.7% | GPT-5.5 |
| GPQA-D | 93.6% | 91.7% | GPT-5.5 |
| HLE | 52.2% | 35.9% | GPT-5.5 |
| HLE w/o tools | 41.4% | 35.9% | GPT-5.5 |
| GPQA Diamond (Vals) | 93.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 88.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GPT-5.5 public-lane score: 93.3 (#8/127)
- Qwen3.8-Flash-Next public-lane score: 91.2 (#22/127)

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 81.3% | Coming soon |

### Mathematics

- Winner: Not comparable
- GPT-5.5 public-lane score: 69.9 (Unranked · 3 rankable rows)
- Qwen3.8-Flash-Next public-lane score: Coming soon

| Benchmark | GPT-5.5 | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 51.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 51.700% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 35.400% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GPT-5.5 or Qwen3.8-Flash-Next?

GPT-5.5 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GPT-5.5 and Qwen3.8-Flash-Next?

The widest category gap is in multimodal & grounded, where the averages are 75.5 for GPT-5.5 and 87.7 for Qwen3.8-Flash-Next.

### How many benchmarks does GPT-5.5 cover on BenchLM?

GPT-5.5 currently has 41 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.8-Flash-Next cover on BenchLM?

Qwen3.8-Flash-Next currently has 24 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.5 vs GPT-5.5 Pro](/compare/gpt-5-5-vs-gpt-5-5-pro)
- [Qwen3.8-Flash-Next vs GPT-5.5 Pro](/compare/gpt-5-5-pro-vs-qwen3-8-flash-next)
- [GPT-5.5 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-gpt-5-5)
- [Qwen3.8-Flash-Next vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-8-flash-next)

## Explore More

- [GPT-5.5 profile](/models/gpt-5-5)
- [Qwen3.8-Flash-Next profile](/models/qwen3-8-flash-next)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)