# GPT-5.2-Codex vs Qwen3.8-Flash-Next

> Side-by-side benchmark comparison for GPT-5.2-Codex and Qwen3.8-Flash-Next across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-2-codex-vs-qwen3-8-flash-next
- Last updated: October 10, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: GPT-5.2-Codex and Qwen3.8-Flash-Next share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Qwen3.8-Flash-Next has the lower published output-token price.
- GPT-5.2-Codex has the larger published context window at 400K.

## Model Snapshot

| Property | GPT-5.2-Codex | Qwen3.8-Flash-Next |
|----------|----------|----------|
| Creator | OpenAI | Alibaba |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 400K | 262K |
| Independent public score (not head-to-head) | 55.43 | 64.23 |
| Benchmarks Covered | 5 | 24 |
| Pricing (input/output) | $1.75 / $14.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 40.4 (Estimated · #60/123)
- Qwen3.8-Flash-Next public-lane score: 59.5 (Estimated · #24/123)

| Benchmark | GPT-5.2-Codex | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| Gert Labs | 51.79% | Coming soon | Coming soon |
| JobBench | 26.0% | 55.7% | Qwen3.8-Flash-Next |
| 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 |
| OSWorld 2.0 | Coming soon | 19.4% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 45.2 (Supported · #51/146)
- Qwen3.8-Flash-Next public-lane score: 52.4 (Supported · #37/146)

| Benchmark | GPT-5.2-Codex | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 37.91% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 88.0% | Coming soon | Coming soon |
| SWE-bench (Vals) | 72.4% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 62.5% | 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: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 82.7 (Unranked · 2 rankable rows)
- Qwen3.8-Flash-Next public-lane score: 80.9 (Unranked · 2 rankable rows)

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 76.9 (Unranked · 1 rankable row)
- Qwen3.8-Flash-Next public-lane score: 87.7 (#8/54)

| Benchmark | GPT-5.2-Codex | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| 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: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 56.8 (Estimated · #50/177)
- Qwen3.8-Flash-Next public-lane score: 59.4 (Supported · #47/177)

| Benchmark | GPT-5.2-Codex | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| GPQA | Coming soon | 91.7% | Coming soon |
| GPQA-D | Coming soon | 91.7% | Coming soon |
| HLE | Coming soon | 35.9% | Coming soon |
| HLE w/o tools | Coming soon | 35.9% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GPT-5.2-Codex public-lane score: 93.8 (#4/127)
- Qwen3.8-Flash-Next public-lane score: 91.2 (#22/127)

| Benchmark | GPT-5.2-Codex | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 81.3% | Coming soon |

## FAQ

### Is there enough evidence to pick between GPT-5.2-Codex and Qwen3.8-Flash-Next?

Not yet. The models share only 1 sourced benchmark row, 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-5.2-Codex vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-gpt-5-2-codex)
- [Qwen3.8-Flash-Next vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-8-flash-next)
- [GPT-5.2-Codex vs GPT-6 Astra](/compare/gpt-5-2-codex-vs-gpt-6-astra)
- [Qwen3.8-Flash-Next vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-8-flash-next)

## Explore More

- [GPT-5.2-Codex profile](/models/gpt-5-2-codex)
- [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)