Model comparison
DeepSeek V3.2 vs DeepSeek V4 Flash (High)
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); DeepSeek V4 Flash (High) #92 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and DeepSeek V4 Flash (High) share 12 comparable benchmark results. 2 of 8 categories are comparable. 7 results are unique to DeepSeek V3.2; 26 to DeepSeek V4 Flash (High).
Updated July 23, 2026- Shared results
- 12
- DeepSeek V3.2 only
- 7
- DeepSeek V4 Flash (High) only
- 26
- Comparable categories
- 2 / 8
Pick DeepSeek V3.2 if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V3.2 has the cleaner BenchAlign overall profile here, landing at 55.4 versus 53.95. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3.2 is also the more expensive model on tokens at $0.28 input / $0.42 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). DeepSeek V4 Flash (High) is the reasoning model in the pair, while DeepSeek V3.2 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 (High) gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
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 V3.2 | Δ | DeepSeek V4 Flash (High) |
|---|---|---|---|
| Math | DeepSeek V3.217.1 | Margin→ 74.8 | DeepSeek V4 Flash (High)91.9 |
| Coding | DeepSeek V3.260.9 | Margin→ 7.6 | DeepSeek V4 Flash (High)68.5 |
| Agentic | DeepSeek V3.2Not measured | MarginNo overlap | DeepSeek V4 Flash (High)55.3 |
| Knowledge | DeepSeek V3.2Not measured | MarginNo overlap | DeepSeek V4 Flash (High)52.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | DeepSeek V4 Flash (High)$0.14 input / $0.28 output | DeepSeek V4 Flash (High) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | DeepSeek V4 Flash (High)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | DeepSeek V4 Flash (High)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | DeepSeek V4 Flash (High)1M | DeepSeek V4 Flash (High) lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 95.6% | DeepSeek V4 Flash (High) leads |
| Gert LabsSource | 29.57% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 56.6% | Not comparable |
| BrowseCompSource | — | 53.5% | Not comparable |
| HLE w/ toolsSource | — | 40.3% | Not comparable |
| MCP AtlasSource | — | 67.4% | Not comparable |
| ToolathlonSource | — | 43.5% | Not comparable |
| AA Agentic IndexSource | — | 28.2% | Not comparable |
| GDPval-AASource | — | 32.4% | Not comparable |
| GDPval-AASource | — | 1147 | Not comparable |
CodingDeepSeek V4 Flash (High) wins9 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| SWE-RebenchSource | 60.9% | — | Not comparable |
| React Native EvalsSource | 71.5% | — | Not comparable |
| AA-SciCodeSource | 38.7% | 42.0% | DeepSeek V4 Flash (High) leads |
| CodeforcesSource | — | 2816.0 | Not comparable |
| SWE-bench VerifiedSource | — | 78.6% | Not comparable |
| SWE-bench ProSource | — | 52.3% | Not comparable |
| SWE MultilingualSource | — | 70.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.6% | Not comparable |
| AA Coding IndexSource | — | 52.0% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 37.5% | DeepSeek V4 Flash (High) leads |
| AA-GPQA DiamondSource | 75.1% | 86.7% | DeepSeek V4 Flash (High) leads |
| AA-HLESource | 10.5% | 27.8% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience IndexSource | -46.7% | -22.3% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience AccuracySource | 24.2% | 35.5% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 89.7% | DeepSeek V4 Flash (High) leads |
| MMLU-ProSource | — | 86.4% | Not comparable |
| SimpleQASource | — | 28.9% | Not comparable |
| Chinese-SimpleQASource | — | 73.2% | Not comparable |
| GPQASource | — | 87.4% | Not comparable |
| GPQA-DSource | — | 87.4% | Not comparable |
| HLESource | — | 29.4% | Not comparable |
MathDeepSeek V4 Flash (High) wins6 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 22.100% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 2.100% | — | Not comparable |
| HMMT Feb 2026Source | — | 91.9% | Not comparable |
| IMOAnswerBenchSource | — | 85.1% | Not comparable |
| ApexSource | — | 19.1% | Not comparable |
| Apex ShortlistSource | — | 72.1% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1204 | 1238 | DeepSeek V4 Flash (High) leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | DeepSeek V4 Flash (High) | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 73.5% | DeepSeek V4 Flash (High) leads |
Frequently Asked Questions (3)
Which is better, DeepSeek V3.2 or DeepSeek V4 Flash (High)?
DeepSeek V3.2 is ahead on BenchLM's BenchAlign leaderboard, 55.4 to 53.95.
Which is better for coding, DeepSeek V3.2 or DeepSeek V4 Flash (High)?
DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 68.5 versus 60.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V3.2 or DeepSeek V4 Flash (High)?
DeepSeek V4 Flash (High) has the edge for math in this comparison, averaging 91.9 versus 17.1. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
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