Model comparison
DeepSeek V4 Flash (Max) vs Qwen3.5-122B-A10B
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash (Max) unranked (Not scored); Qwen3.5-122B-A10B #47 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash (Max) and Qwen3.5-122B-A10B share 20 comparable benchmark results. 3 of 8 categories are comparable. 25 results are unique to DeepSeek V4 Flash (Max); 11 to Qwen3.5-122B-A10B.
Updated July 23, 2026- Shared results
- 20
- DeepSeek V4 Flash (Max) only
- 25
- Qwen3.5-122B-A10B only
- 11
- Comparable categories
- 3 / 8
Treat this as a split decision. DeepSeek V4 Flash (Max) makes more sense if agentic is the priority or you need the larger 1M context window; Qwen3.5-122B-A10B is the better fit if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 evidence categories; 3 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 (Max) and Qwen3.5-122B-A10B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
DeepSeek V4 Flash (Max) is also the more expensive model on tokens at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. DeepSeek V4 Flash (Max) gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
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 (Max) | Δ | Qwen3.5-122B-A10B |
|---|---|---|---|
| Knowledge | DeepSeek V4 Flash (Max)55.3 | Margin→ 28.3 | Qwen3.5-122B-A10B83.6 |
| Agentic | DeepSeek V4 Flash (Max)63.8 | Margin← 7.4 | Qwen3.5-122B-A10B56.4 |
| Coding | DeepSeek V4 Flash (Max)68.8 | Margin→ 3.2 | Qwen3.5-122B-A10B72.0 |
| Reasoning | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Qwen3.5-122B-A10B60.2 |
| Math | DeepSeek V4 Flash (Max)94.8 | MarginNo overlap | Qwen3.5-122B-A10BNot measured |
| Multilingual | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Qwen3.5-122B-A10B82.2 |
| Multimodal | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Qwen3.5-122B-A10B77.2 |
| Inst. Following | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Qwen3.5-122B-A10B93.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 73.2%B 63.8%Winner: DeepSeek V4 Flash (Max)Δ 9.4BrowseComp: DeepSeek V4 Flash (Max) scored 73.2%; Qwen3.5-122B-A10B scored 63.8%. DeepSeek V4 Flash (Max) wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 56.9%B 49.4%Winner: DeepSeek V4 Flash (Max)Δ 7.5Terminal-Bench 2.0: DeepSeek V4 Flash (Max) scored 56.9%; Qwen3.5-122B-A10B scored 49.4%. DeepSeek V4 Flash (Max) wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 79%B 72%Winner: DeepSeek V4 Flash (Max)Δ 7SWE-bench Verified: DeepSeek V4 Flash (Max) scored 79%; Qwen3.5-122B-A10B scored 72%. DeepSeek V4 Flash (Max) wins this benchmark. - Source ↗
GPQA
KnowledgeA 88.1%B 86.6%Winner: DeepSeek V4 Flash (Max)Δ 1.5GPQA: DeepSeek V4 Flash (Max) scored 88.1%; Qwen3.5-122B-A10B scored 86.6%. DeepSeek V4 Flash (Max) wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 86.2%B 86.7%Winner: Qwen3.5-122B-A10BΔ 0.5MMLU-Pro: DeepSeek V4 Flash (Max) scored 86.2%; Qwen3.5-122B-A10B scored 86.7%. Qwen3.5-122B-A10B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash (Max)$0.14 input / $0.28 output | Qwen3.5-122B-A10B$0 input / $0 output | Qwen3.5-122B-A10B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Flash (Max)Not available | Qwen3.5-122B-A10BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash (Max)Not available | Qwen3.5-122B-A10BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash (Max)1M | Qwen3.5-122B-A10B262K | DeepSeek V4 Flash (Max) lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Flash (Max) wins16 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.9% | 49.4% | DeepSeek V4 Flash (Max) leads |
| BrowseCompSource | 73.2% | 63.8% | DeepSeek V4 Flash (Max) leads |
| HLE w/ toolsSource | 45.1% | — | Not comparable |
| MCP AtlasSource | 69% | — | Not comparable |
| GDPval-AASource | 1189 | 978 | DeepSeek V4 Flash (Max) leads |
| ToolathlonSource | 47.8% | — | Not comparable |
| AA Agentic IndexSource | 31.1% | 20.7% | DeepSeek V4 Flash (Max) leads |
| τ²-bench resultsSource | 95% | 93.6% | DeepSeek V4 Flash (Max) leads |
| GDPval-AASource | 34.4% | 23.9% | DeepSeek V4 Flash (Max) leads |
| AA BriefcaseSource | 831 | — | Not comparable |
| AA EnterpriseOps-GymSource | 39.6% | — | Not comparable |
| AA Harvey LABSource | 81.3% | — | Not comparable |
| AA ITBenchSource | 31.5% | — | Not comparable |
| AA Tau3 BankingSource | 22.9% | — | Not comparable |
| terminalBenchHardSource | 35.6% | — | Not comparable |
| OSWorld-VerifiedSource | — | 58% | Not comparable |
CodingQwen3.5-122B-A10B wins7 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| CodeforcesSource | 3052.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79% | 72% | DeepSeek V4 Flash (Max) leads |
| SWE-bench ProSource | 52.6% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| Terminal-Bench 2.0Source | 56.9% | — | Not comparable |
| AA Coding IndexSource | 56.2% | 45.7% | DeepSeek V4 Flash (Max) leads |
| AA-SciCodeSource | 44.9% | 42.0% | DeepSeek V4 Flash (Max) leads |
Reasoning5 benchmarks
KnowledgeQwen3.5-122B-A10B wins14 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | 86.7% | Qwen3.5-122B-A10B leads |
| SimpleQASource | 34.1% | — | Not comparable |
| Chinese-SimpleQASource | 78.9% | — | Not comparable |
| GPQASource | 88.1% | 86.6% | DeepSeek V4 Flash (Max) leads |
| GPQA-DSource | 88.1% | — | Not comparable |
| HLESource | 34.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.3% | 32.3% | DeepSeek V4 Flash (Max) leads |
| AA-GPQA DiamondSource | 89.4% | 85.7% | DeepSeek V4 Flash (Max) leads |
| AA-HLESource | 32.1% | 23.4% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience IndexSource | -22.9% | -39.6% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience AccuracySource | 37.2% | 24.7% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 85.5% | Qwen3.5-122B-A10B leads |
| AA Openness IndexSource | 50.0% | — | Not comparable |
| SuperGPQASource | — | 67.1% | Not comparable |
Math4 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal7 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1238 | — | Not comparable |
| MMMUSource | — | 83.9% | Not comparable |
| MMVUSource | — | 74.7% | Not comparable |
| MathVisionSource | — | 86.2% | Not comparable |
| CharXivSource | — | 77.2% | Not comparable |
| V*Source | — | 93.2% | Not comparable |
| AA-MMMU-ProSource | — | 75.0% | Not comparable |
Frequently Asked Questions (4)
Which is better, DeepSeek V4 Flash (Max) or Qwen3.5-122B-A10B?
DeepSeek V4 Flash (Max) and Qwen3.5-122B-A10B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, DeepSeek V4 Flash (Max) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 83.6 versus 55.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Flash (Max) or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 68.8. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Flash (Max) or Qwen3.5-122B-A10B?
DeepSeek V4 Flash (Max) has the edge for agentic tasks in this comparison, averaging 63.8 versus 56.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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