Model comparison
DeepSeek V4 Flash (Max) vs Gemini 3.5 Flash
Head-to-head evidence from 27 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash (Max) unranked (Not scored); Gemini 3.5 Flash #33 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash (Max) and Gemini 3.5 Flash share 27 comparable benchmark results. 4 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Flash (Max); 19 to Gemini 3.5 Flash.
Updated July 23, 2026- Shared results
- 27
- DeepSeek V4 Flash (Max) only
- 18
- Gemini 3.5 Flash only
- 19
- Comparable categories
- 4 / 8
Treat this as a split decision. DeepSeek V4 Flash (Max) makes more sense if mathematics is the priority or you want the cheaper token bill; Gemini 3.5 Flash is the better fit if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 27 shared benchmark results across 6 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 (Max) and Gemini 3.5 Flash 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.
Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 32.1x on output cost alone.
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 | Gemini 3.5 Flash |
|---|---|---|---|
| Math | DeepSeek V4 Flash (Max)94.8 | Margin← 61.9 | Gemini 3.5 Flash32.9 |
| Coding | DeepSeek V4 Flash (Max)68.8 | Margin← 14.9 | Gemini 3.5 Flash53.9 |
| Agentic | DeepSeek V4 Flash (Max)63.8 | Margin→ 13.4 | Gemini 3.5 Flash77.2 |
| Knowledge | DeepSeek V4 Flash (Max)55.3 | Margin← 8.1 | Gemini 3.5 Flash47.2 |
| Reasoning | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Gemini 3.5 Flash74.7 |
| Multimodal | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Gemini 3.5 Flash83.8 |
| Inst. Following | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | Gemini 3.5 Flash76.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 56.9%B 76.2%Winner: Gemini 3.5 FlashΔ 19.3Terminal-Bench 2.0: DeepSeek V4 Flash (Max) scored 56.9%; Gemini 3.5 Flash scored 76.2%. Gemini 3.5 Flash wins this benchmark. - Source ↗
HLE
KnowledgeA 34.8%B 40.2%Winner: Gemini 3.5 FlashΔ 5.4HLE: DeepSeek V4 Flash (Max) scored 34.8%; Gemini 3.5 Flash scored 40.2%. Gemini 3.5 Flash wins this benchmark. - Source ↗
GPQA
KnowledgeA 88.1%B 92.2%Winner: Gemini 3.5 FlashΔ 4.1GPQA: DeepSeek V4 Flash (Max) scored 88.1%; Gemini 3.5 Flash scored 92.2%. Gemini 3.5 Flash wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 52.6%B 55.1%Winner: Gemini 3.5 FlashΔ 2.5SWE-bench Pro: DeepSeek V4 Flash (Max) scored 52.6%; Gemini 3.5 Flash scored 55.1%. Gemini 3.5 Flash 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) | Gemini 3.5 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash (Max)$0.14 input / $0.28 output | Gemini 3.5 Flash$1.5 input / $9 output | DeepSeek V4 Flash (Max) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Flash (Max)Not available | Gemini 3.5 Flash284.2 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash (Max)Not available | Gemini 3.5 Flash18.55 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash (Max)1M | Gemini 3.5 Flash1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGemini 3.5 Flash wins21 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Gemini 3.5 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.9% | 76.2% | Gemini 3.5 Flash leads |
| BrowseCompSource | 73.2% | — | Not comparable |
| HLE w/ toolsSource | 45.1% | — | Not comparable |
| MCP AtlasSource | 69% | 83.6% | Gemini 3.5 Flash leads |
| GDPval-AASource | 1189 | 1349 | Gemini 3.5 Flash leads |
| ToolathlonSource | 47.8% | 56.5% | Gemini 3.5 Flash leads |
| AA Agentic IndexSource | 31.1% | 37.5% | Gemini 3.5 Flash leads |
| τ²-bench resultsSource | 95% | 95.3% | Gemini 3.5 Flash leads |
| GDPval-AASource | 34.4% | 42.4% | Gemini 3.5 Flash leads |
| AA BriefcaseSource | 831 | — | Not comparable |
| AA EnterpriseOps-GymSource | 39.6% | 50.1% | Gemini 3.5 Flash leads |
| AA Harvey LABSource | 81.3% | — | Not comparable |
| AA ITBenchSource | 31.5% | — | Not comparable |
| AA Tau3 BankingSource | 22.9% | — | Not comparable |
| terminalBenchHardSource | 35.6% | 40.9% | Gemini 3.5 Flash leads |
| OSWorld-VerifiedSource | — | 78.4% | Not comparable |
| Finance Agent v2Source | — | 57.9% | Not comparable |
| APEX-Agents-AASource | — | 47.1% | Not comparable |
| Gert LabsSource | — | 61.85% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
| AA AutomationBenchSource | — | 42.6% | Not comparable |
CodingDeepSeek V4 Flash (Max) wins11 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Gemini 3.5 Flash | Result |
|---|---|---|---|
| CodeforcesSource | 3052.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79% | — | Not comparable |
| SWE-bench ProSource | 52.6% | 55.1% | Gemini 3.5 Flash leads |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| Terminal-Bench 2.0Source | 56.9% | 76.2% | Gemini 3.5 Flash leads |
| AA Coding IndexSource | 56.2% | 70.1% | Gemini 3.5 Flash leads |
| AA-SciCodeSource | 44.9% | 53.1% | Gemini 3.5 Flash leads |
| SciCodeSource | — | 53.1% | Not comparable |
| Vibe Code BenchSource | — | 48.68% | Not comparable |
| cursorBench31Source | — | 49.8% | Not comparable |
| cursorBench32Source | — | 48.8% | Not comparable |
Reasoning6 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Gemini 3.5 Flash | Result |
|---|---|---|---|
| MRCR 1MSource | 78.7% | 26.6% | DeepSeek V4 Flash (Max) leads |
| CorpusQA 1MSource | 60.5% | — | Not comparable |
| AA-LCRSource | 63.0% | 69.3% | Gemini 3.5 Flash leads |
| CritPtSource | 7.1% | 13.1% | Gemini 3.5 Flash leads |
| MRCRv2Source | — | 77.3% | Not comparable |
| ARC-AGI-2Source | — | 72.1% | Not comparable |
KnowledgeDeepSeek V4 Flash (Max) wins13 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Gemini 3.5 Flash | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | — | Not comparable |
| SimpleQASource | 34.1% | — | Not comparable |
| Chinese-SimpleQASource | 78.9% | — | Not comparable |
| GPQASource | 88.1% | 92.2% | Gemini 3.5 Flash leads |
| GPQA-DSource | 88.1% | 92.7% | Gemini 3.5 Flash leads |
| HLESource | 34.8% | 40.2% | Gemini 3.5 Flash leads |
| Artificial Analysis Intelligence IndexSource | 40.3% | 50.2% | Gemini 3.5 Flash leads |
| AA-GPQA DiamondSource | 89.4% | 92.2% | Gemini 3.5 Flash leads |
| AA-HLESource | 32.1% | 41.0% | Gemini 3.5 Flash leads |
| AA-Omniscience IndexSource | -22.9% | 22.7% | Gemini 3.5 Flash leads |
| AA-Omniscience AccuracySource | 37.2% | 51.9% | Gemini 3.5 Flash leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 60.7% | Gemini 3.5 Flash leads |
| AA Openness IndexSource | 50.0% | — | Not comparable |
MathDeepSeek V4 Flash (Max) wins6 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Gemini 3.5 Flash | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 94.8% | — | Not comparable |
| IMOAnswerBenchSource | 88.4% | — | Not comparable |
| ApexSource | 33.0% | — | Not comparable |
| Apex ShortlistSource | 85.7% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 38.966% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 14.583% | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Flash (Max) or Gemini 3.5 Flash?
DeepSeek V4 Flash (Max) and Gemini 3.5 Flash 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 Gemini 3.5 Flash?
DeepSeek V4 Flash (Max) has the edge for knowledge tasks in this comparison, averaging 55.3 versus 47.2. 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 Gemini 3.5 Flash?
DeepSeek V4 Flash (Max) has the edge for coding in this comparison, averaging 68.8 versus 53.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Flash (Max) or Gemini 3.5 Flash?
DeepSeek V4 Flash (Max) has the edge for math in this comparison, averaging 94.8 versus 32.9. Gemini 3.5 Flash stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, DeepSeek V4 Flash (Max) or Gemini 3.5 Flash?
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 63.8. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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