Model comparison
DeepSeek V3.2 vs MiMo-V2-Flash
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); MiMo-V2-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and MiMo-V2-Flash share 11 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to DeepSeek V3.2; 8 to MiMo-V2-Flash.
Updated July 20, 2026- Shared results
- 11
- DeepSeek V3.2 only
- 8
- MiMo-V2-Flash only
- 8
- Comparable categories
- 1 / 8
Pick DeepSeek V3.2 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if coding is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 1 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 54.06. 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 $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash 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. MiMo-V2-Flash gives you the larger context window at 256K, 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 | MiMo-V2-Flash |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | Margin→ 12.5 | MiMo-V2-Flash73.4 |
| Knowledge | DeepSeek V3.2Not measured | MarginNo overlap | MiMo-V2-Flash84.7 |
| Math | DeepSeek V3.217.1 | MarginNo overlap | MiMo-V2-FlashNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | MiMo-V2-Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | MiMo-V2-Flash$0 input / $0 output | MiMo-V2-Flash has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | MiMo-V2-Flash129 tok/s | MiMo-V2-Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | MiMo-V2-Flash2.14 s | MiMo-V2-Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | MiMo-V2-Flash256K | MiMo-V2-Flash lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V3.2 | MiMo-V2-Flash | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 83.9% | MiMo-V2-Flash leads |
| Gert LabsSource | 29.57% | — | Not comparable |
| AA Agentic IndexSource | — | 12.0% | Not comparable |
| GDPval-AASource | — | 16.7% | Not comparable |
| GDPval-AASource | — | 833 | Not comparable |
CodingMiMo-V2-Flash wins5 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek V3.2 | MiMo-V2-Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 24.7% | MiMo-V2-Flash leads |
| AA-GPQA DiamondSource | 75.1% | 65.6% | DeepSeek V3.2 leads |
| AA-HLESource | 10.5% | 8.0% | DeepSeek V3.2 leads |
| AA-Omniscience IndexSource | -46.7% | -48.5% | DeepSeek V3.2 leads |
| AA-Omniscience AccuracySource | 24.2% | 15.2% | DeepSeek V3.2 leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 75.1% | MiMo-V2-Flash leads |
| GPQASource | — | 83.7% | Not comparable |
| MMLU-ProSource | — | 84.9% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | MiMo-V2-Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | MiMo-V2-Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 39.9% | DeepSeek V3.2 leads |
Frequently Asked Questions (2)
Which is better, DeepSeek V3.2 or MiMo-V2-Flash?
DeepSeek V3.2 is ahead on BenchLM's BenchAlign leaderboard, 55.4 to 54.06.
Which is better for coding, DeepSeek V3.2 or MiMo-V2-Flash?
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 60.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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