# Qwen3.8-27B vs Qwen3.8-Flash-Next

> Side-by-side benchmark comparison for Qwen3.8-27B and Qwen3.8-Flash-Next across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/qwen3-8-27b-vs-qwen3-8-flash-next
- Last updated: October 10, 2026

- Shared sourced benchmarks: 20
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Qwen3.8-Flash-Next leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Qwen3.8-Flash-Next has the higher overall point estimate 64.23 to 58.27. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in knowledge, where the averages are 51 for Qwen3.8-27B and 59.4 for Qwen3.8-Flash-Next.
- The biggest single benchmark swing is JobBench in Agentic, with scores of 33.4% and 55.7%.

## Model Snapshot

| Property | Qwen3.8-27B | Qwen3.8-Flash-Next |
|----------|----------|----------|
| Creator | Alibaba | Alibaba |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 262K | 262K |
| Overall Score | 58.27 | 64.23 |
| Benchmarks Covered | 34 | 24 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- Qwen3.8-27B public-lane score: 61.7 (Supported · #19/123)
- Qwen3.8-Flash-Next public-lane score: 59.5 (Estimated · #24/123)

| Benchmark | Qwen3.8-27B | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 73.0% | Coming soon | Coming soon |
| CoWorkBench | 70.7% | 73.9% | Qwen3.8-Flash-Next |
| JobBench | 33.4% | 55.7% | Qwen3.8-Flash-Next |
| Agents' Last Exam | 42.9% | 51.2% | Qwen3.8-Flash-Next |
| OSWorld-Verified | 84.3% | Coming soon | Coming soon |
| WebArena-Verified | 64.8% | Coming soon | Coming soon |
| AndroidWorld | 81.9% | 84.5% | Qwen3.8-Flash-Next |
| Terminal-Bench 2.1 (Vals) | 58.4% | Coming soon | Coming soon |
| Toolathlon-Verified | Coming soon | 73.5% | Coming soon |
| OSWorld 2.0 | Coming soon | 19.4% | Coming soon |

### Coding

- Winner: Qwen3.8-Flash-Next
- Qwen3.8-27B public-lane score: 47.3 (Supported · #47/146)
- Qwen3.8-Flash-Next public-lane score: 52.4 (Supported · #37/146)

| Benchmark | Qwen3.8-27B | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 73.0% | Coming soon | Coming soon |
| SWE-bench Pro | 61.7% | 62.5% | Qwen3.8-Flash-Next |
| NL2Repo | 42.3% | 48.1% | Qwen3.8-Flash-Next |
| DeepSWE | 42.2% | 58.7% | Qwen3.8-Flash-Next |
| LiveCodeBench v6 | 90.3% | 91.9% | Qwen3.8-Flash-Next |
| VulcanBench v3 | 82.6% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 84.0% | Coming soon | Coming soon |
| SWE-bench (Vals) | 86.0% | Coming soon | Coming soon |
| Bug Hunt Bench | 15.0 fixes | Coming soon | Coming soon |
| SWE Multilingual | Coming soon | 81% | Coming soon |

### Reasoning

- Winner: Not comparable
- Qwen3.8-27B public-lane score: 82.5 (#8/28)
- Qwen3.8-Flash-Next public-lane score: 80.9 (Unranked · 2 rankable rows)

### Multimodal & Grounded

- Winner: Qwen3.8-Flash-Next
- Qwen3.8-27B public-lane score: 84.4 (#13/54)
- Qwen3.8-Flash-Next public-lane score: 87.7 (#8/54)

| Benchmark | Qwen3.8-27B | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| MathVision | 90.0% | 90.6% | Qwen3.8-Flash-Next |
| MathVision w/ Python | 94.6% | 95.7% | Qwen3.8-Flash-Next |
| BabyVision | 65.7% | Coming soon | Coming soon |
| BabyVision w/ Python | 85.6% | Coming soon | Coming soon |
| Vision2Web | 62.9% | 64.0% | Qwen3.8-Flash-Next |
| CharXiv w/o tools | 83.7% | 84.6% | Qwen3.8-Flash-Next |
| CharXiv | 90.2% | 90.6% | Qwen3.8-Flash-Next |
| OmniDocBench 1.5 | 91.1% | Coming soon | Coming soon |
| RealWorldQA | 85.9% | 88.5% | Qwen3.8-Flash-Next |
| ERQA | 65.5% | 72.3% | Qwen3.8-Flash-Next |
| LVBench | Coming soon | 76.6% | Coming soon |

### Knowledge

- Winner: Qwen3.8-Flash-Next
- Qwen3.8-27B public-lane score: 51 (Supported · #72/177)
- Qwen3.8-Flash-Next public-lane score: 59.4 (Supported · #47/177)

| Benchmark | Qwen3.8-27B | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 89.2% | 91.7% | Qwen3.8-Flash-Next |
| GPQA-D | 89.2% | 91.7% | Qwen3.8-Flash-Next |
| HLE | 30.8% | 35.9% | Qwen3.8-Flash-Next |
| HLE w/o tools | 30.8% | 35.9% | Qwen3.8-Flash-Next |
| GPQA Diamond (Vals) | 88.9% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 84.3% | Coming soon | Coming soon |

### Instruction Following

- Winner: Qwen3.8-Flash-Next
- Qwen3.8-27B public-lane score: 86.9 (#40/127)
- Qwen3.8-Flash-Next public-lane score: 91.2 (#22/127)

| Benchmark | Qwen3.8-27B | Qwen3.8-Flash-Next | Winner |
|-----------|-----------|-----------|--------|
| IFBench | 79.5% | 81.3% | Qwen3.8-Flash-Next |

## FAQ

### Which is better overall, Qwen3.8-27B or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between Qwen3.8-27B and Qwen3.8-Flash-Next?

The widest category gap is in knowledge, where the averages are 51 for Qwen3.8-27B and 59.4 for Qwen3.8-Flash-Next.

### How many benchmarks does Qwen3.8-27B cover on BenchLM?

Qwen3.8-27B currently has 34 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

- [Qwen3.8-27B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-8-27b)
- [Qwen3.8-Flash-Next vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-8-flash-next)
- [Qwen3.8-27B vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-8-27b)
- [Qwen3.8-Flash-Next vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-8-flash-next)

## Explore More

- [Qwen3.8-27B profile](/models/qwen3-8-27b)
- [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)