Model comparison
Qwen3.6-27B vs Seed-2.0-Mini
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.6-27B #93 (Estimated); Seed-2.0-Mini #149 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6-27B and Seed-2.0-Mini share 0 comparable benchmark results. 0 of 8 categories are comparable. 54 results are unique to Qwen3.6-27B; 0 to Seed-2.0-Mini.
Updated July 21, 2026- Shared results
- 0
- Qwen3.6-27B only
- 54
- Seed-2.0-Mini only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.6-27B and Seed-2.0-Mini is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Seed-2.0-Mini yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Qwen3.6-27B has the larger context window at 262K, compared with 256K for Seed-2.0-Mini.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.6-27B | Seed-2.0-Mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6-27B$0 input / $0 output | Seed-2.0-MiniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.6-27BNot available | Seed-2.0-MiniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6-27BNot available | Seed-2.0-MiniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6-27B262K | Seed-2.0-Mini256K | Qwen3.6-27B lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Qwen3.6-27B | Seed-2.0-Mini | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| Claw-EvalSource | 72.4% | — | Not comparable |
| QwenClawBenchSource | 53.4% | — | Not comparable |
| QwenWebBenchSource | 1487 | — | Not comparable |
| AndroidWorldSource | 70.3% | — | Not comparable |
| AA Agentic IndexSource | 27.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 32.0% | — | Not comparable |
| GDPval-AASource | 1140 | — | Not comparable |
| Gert LabsSource | 54.84% | — | Not comparable |
Coding8 benchmarks
| Benchmark | Qwen3.6-27B | Seed-2.0-Mini | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.2% | — | Not comparable |
| SWE MultilingualSource | 71.3% | — | Not comparable |
| SWE-bench ProSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| LiveCodeBenchSource | 83.9% | — | Not comparable |
| NL2RepoSource | 36.2% | — | Not comparable |
| AA Coding IndexSource | 53.7% | — | Not comparable |
| AA-SciCodeSource | 39.8% | — | Not comparable |
Reasoning2 benchmarks
Knowledge12 benchmarks
| Benchmark | Qwen3.6-27B | Seed-2.0-Mini | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | — | Not comparable |
| MMLU-ReduxSource | 93.5% | — | Not comparable |
| SuperGPQASource | 66% | — | Not comparable |
| C-EvalSource | 91.4% | — | Not comparable |
| GPQASource | 87.8% | — | Not comparable |
| HLESource | 24% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.0% | — | Not comparable |
| AA-GPQA DiamondSource | 84.2% | — | Not comparable |
| AA-HLESource | 21.6% | — | Not comparable |
| AA-Omniscience IndexSource | -19.8% | — | Not comparable |
| AA-Omniscience AccuracySource | 19.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 48.3% | — | Not comparable |
Math5 benchmarks
Multimodal16 benchmarks
| Benchmark | Qwen3.6-27B | Seed-2.0-Mini | Result |
|---|---|---|---|
| MMMUSource | 82.9% | — | Not comparable |
| MMMU-ProSource | 75.8% | — | Not comparable |
| RealWorldQASource | 84.1% | — | Not comparable |
| DynaMathSource | 85.6% | — | Not comparable |
| MStarSource | 81.4% | — | Not comparable |
| SimpleVQASource | 56.1% | — | Not comparable |
| CharXivSource | 78.4% | — | Not comparable |
| CC-OCRSource | 81.2% | — | Not comparable |
| CountBenchSource | 97.8% | — | Not comparable |
| RefCOCO (avg)Source | 92.5% | — | Not comparable |
| ERQASource | 62.5% | — | Not comparable |
| Video-MME (with subtitle)Source | 87.7% | — | Not comparable |
| VideoMMMUSource | 84.4% | — | Not comparable |
| MLVU (M-Avg)Source | 86.6% | — | Not comparable |
| V*Source | 94.7% | — | Not comparable |
| AA-MMMU-ProSource | 74.6% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Qwen3.6-27B | Seed-2.0-Mini | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Qwen3.6-27B and Seed-2.0-Mini on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Qwen3.6-27B and Seed-2.0-Mini today?
Qwen3.6-27B: $0.00 input / $0.00 output per 1M tokens Seed-2.0-Mini: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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