Model comparison
DeepSeek V4 Flash vs Qwen3.6-35B-A3B
Head-to-head evidence from 13 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Qwen3.6-35B-A3B #104 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash and Qwen3.6-35B-A3B share 13 comparable benchmark results. 4 of 8 categories are comparable. 9 results are unique to DeepSeek V4 Flash; 44 to Qwen3.6-35B-A3B.
Updated July 23, 2026- Shared results
- 13
- DeepSeek V4 Flash only
- 9
- Qwen3.6-35B-A3B only
- 44
- Comparable categories
- 4 / 8
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 4 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Flash is clearly ahead on the BenchAlign aggregate, 58.88 to 51.47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-35B-A3B is the reasoning model in the pair, while DeepSeek V4 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-A3B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V4 Flash | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Math | DeepSeek V4 Flash40.8 | Margin→ 47.4 | Qwen3.6-35B-A3B88.2 |
| Knowledge | DeepSeek V4 Flash38.8 | Margin→ 12.6 | Qwen3.6-35B-A3B51.4 |
| Coding | DeepSeek V4 Flash64.2 | Margin→ 9.6 | Qwen3.6-35B-A3B73.8 |
| Agentic | DeepSeek V4 Flash49.1 | Margin→ 2.4 | Qwen3.6-35B-A3B51.5 |
| Multimodal | DeepSeek V4 FlashNot measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HMMT Feb 2026
MathA 40.8%B 83.6%Winner: Qwen3.6-35B-A3BΔ 42.8HMMT Feb 2026: DeepSeek V4 Flash scored 40.8%; Qwen3.6-35B-A3B scored 83.6%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
GPQA
KnowledgeA 71.2%B 86%Winner: Qwen3.6-35B-A3BΔ 14.8GPQA: DeepSeek V4 Flash scored 71.2%; Qwen3.6-35B-A3B scored 86%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
HLE
KnowledgeA 8.1%B 21.4%Winner: Qwen3.6-35B-A3BΔ 13.3HLE: DeepSeek V4 Flash scored 8.1%; Qwen3.6-35B-A3B scored 21.4%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 49.1%B 51.5%Winner: Qwen3.6-35B-A3BΔ 2.4Terminal-Bench 2.0: DeepSeek V4 Flash scored 49.1%; Qwen3.6-35B-A3B scored 51.5%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 83%B 85.2%Winner: Qwen3.6-35B-A3BΔ 2.2MMLU-Pro: DeepSeek V4 Flash scored 83%; Qwen3.6-35B-A3B scored 85.2%. Qwen3.6-35B-A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash$0.14 input / $0.28 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 FlashNot available | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 FlashNot available | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash1M | Qwen3.6-35B-A3B262K | DeepSeek V4 Flash lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.6-35B-A3B wins15 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 49.1% | 51.5% | Qwen3.6-35B-A3B leads |
| MCP AtlasSource | 64% | 62.8% | DeepSeek V4 Flash leads |
| ToolathlonSource | 40.7% | 26.9% | DeepSeek V4 Flash leads |
| Claw-EvalSource | 57.8% | 68.7% | Qwen3.6-35B-A3B leads |
| Gert LabsSource | 54.35% | 42.65% | DeepSeek V4 Flash leads |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| τ²-bench resultsSource | — | 95.3% | Not comparable |
| GDPval-AASource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1049 | Not comparable |
CodingQwen3.6-35B-A3B wins8 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.7% | 73.4% | DeepSeek V4 Flash leads |
| SWE-bench ProSource | 49.1% | 49.5% | Qwen3.6-35B-A3B leads |
| SWE MultilingualSource | 69.7% | 67.2% | DeepSeek V4 Flash leads |
| Terminal-Bench 2.0Source | 49.1% | 51.5% | Qwen3.6-35B-A3B leads |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
| AA Coding IndexSource | — | 41.9% | Not comparable |
| AA-SciCodeSource | — | 35.8% | Not comparable |
Reasoning4 benchmarks
KnowledgeQwen3.6-35B-A3B wins14 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProSource | 83% | 85.2% | Qwen3.6-35B-A3B leads |
| SimpleQASource | 23.1% | — | Not comparable |
| Chinese-SimpleQASource | 71.5% | — | Not comparable |
| GPQASource | 71.2% | 86% | Qwen3.6-35B-A3B leads |
| GPQA-DSource | 71.2% | — | Not comparable |
| HLESource | 8.1% | 21.4% | Qwen3.6-35B-A3B leads |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 31.6% | Not comparable |
| AA-GPQA DiamondSource | — | 84.1% | Not comparable |
| AA-HLESource | — | 20.2% | Not comparable |
| AA-Omniscience IndexSource | — | -21.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 49.7% | Not comparable |
MathQwen3.6-35B-A3B wins8 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 40.8% | 83.6% | Qwen3.6-35B-A3B leads |
| IMOAnswerBenchSource | 41.9% | — | Not comparable |
| ApexSource | 1.0% | — | Not comparable |
| Apex ShortlistSource | 9.3% | — | Not comparable |
| HMMT Feb 2025Source | — | 90.7% | Not comparable |
| HMMT Nov 2025Source | — | 89.1% | Not comparable |
| MMAnswerBenchSource | — | 78.9% | Not comparable |
| AIME26Source | — | 92.7% | Not comparable |
Multimodal16 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1238 | — | Not comparable |
| MMMUSource | — | 81.7% | Not comparable |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
| AA-MMMU-ProSource | — | 75.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 64.4% | Not comparable |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Flash or Qwen3.6-35B-A3B?
DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 51.47. The biggest single separator in this matchup is HMMT Feb 2026, where the scores are 40.8% and 83.6%.
Which is better for knowledge tasks, DeepSeek V4 Flash or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 51.4 versus 38.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Flash or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 64.2. Inside this category, SWE Multilingual is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Flash or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 40.8. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Flash or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for agentic tasks in this comparison, averaging 51.5 versus 49.1. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
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