Model comparison
Ling 2.6 Flash vs MiMo-V2-Pro
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-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and MiMo-V2-Pro share 11 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to Ling 2.6 Flash; 4 to MiMo-V2-Pro.
Updated July 21, 2026- Shared results
- 11
- Ling 2.6 Flash only
- 7
- MiMo-V2-Pro only
- 4
- Comparable categories
- 1 / 8
Pick MiMo-V2-Pro 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-Pro is clearly ahead on the BenchAlign aggregate, 67.78 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 27.
MiMo-V2-Pro 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. MiMo-V2-Pro gives you the larger context window at 1M, compared with 262K for Ling 2.6 Flash.
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-Pro |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | Margin→ 51.0 | MiMo-V2-Pro78.0 |
| Knowledge | Ling 2.6 Flash59.0 | MarginNo overlap | MiMo-V2-ProNot measured |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | MiMo-V2-ProNot 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-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | MiMo-V2-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | MiMo-V2-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | MiMo-V2-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | MiMo-V2-Pro1M | MiMo-V2-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 86% | 95% | MiMo-V2-Pro leads |
| GDPval-AASource | 2.2% | — | Not comparable |
| GDPval-AASource | 545 | — | Not comparable |
| AA Agentic IndexSource | 2.3% | — | Not comparable |
| Claw-EvalSource | — | 57.8% | Not comparable |
| Gert LabsSource | — | 36.68% | Not comparable |
| ResearchClawBenchSource | — | 15.3% | Not comparable |
CodingMiMo-V2-Pro wins4 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 40.3% | MiMo-V2-Pro leads |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | 87.0% | MiMo-V2-Pro leads |
| AA-HLESource | 6.2% | 28.3% | MiMo-V2-Pro leads |
| AA-Omniscience IndexSource | -65.7% | 4.9% | MiMo-V2-Pro leads |
| AA-Omniscience AccuracySource | 15.4% | 26.8% | MiMo-V2-Pro leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 29.9% | MiMo-V2-Pro leads |
Frequently Asked Questions (2)
Which is better, Ling 2.6 Flash or MiMo-V2-Pro?
MiMo-V2-Pro is ahead on BenchLM's BenchAlign leaderboard, 67.78 to 43.87.
Which is better for coding, Ling 2.6 Flash or MiMo-V2-Pro?
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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