Model comparison
Ling 2.6 Flash vs MiMo-V2-Omni
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: Ling 2.6 Flash #154 (Estimated); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and MiMo-V2-Omni share 11 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to Ling 2.6 Flash; 3 to MiMo-V2-Omni.
Updated July 21, 2026- Shared results
- 11
- Ling 2.6 Flash only
- 7
- MiMo-V2-Omni only
- 3
- Comparable categories
- 1 / 8
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
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
MiMo-V2-Omni is clearly ahead on the BenchAlign aggregate, 63.15 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Omni's sharpest advantage is in coding, where it averages 74.8 against 27.
MiMo-V2-Omni is the reasoning model in the pair, while Ling 2.6 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.
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 | Ling 2.6 Flash | Δ | MiMo-V2-Omni |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | Margin→ 47.8 | MiMo-V2-Omni74.8 |
| Knowledge | Ling 2.6 Flash59.0 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | MiMo-V2-OmniNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | MiMo-V2-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | MiMo-V2-Omni262K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
CodingMiMo-V2-Omni wins4 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Omni | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 35.0% | MiMo-V2-Omni leads |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | 82.8% | MiMo-V2-Omni leads |
| AA-HLESource | 6.2% | 19.9% | MiMo-V2-Omni leads |
| AA-Omniscience IndexSource | -65.7% | -17.4% | MiMo-V2-Omni leads |
| AA-Omniscience AccuracySource | 15.4% | 18.7% | MiMo-V2-Omni leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 44.4% | MiMo-V2-Omni leads |
Multimodal1 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 69.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, Ling 2.6 Flash or MiMo-V2-Omni?
MiMo-V2-Omni is ahead on BenchLM's BenchAlign leaderboard, 63.15 to 43.87.
Which is better for coding, Ling 2.6 Flash or MiMo-V2-Omni?
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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