Model comparison
Ling 2.6 Flash vs MiMo-V2.5
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and MiMo-V2.5 share 0 comparable benchmark results. 1 of 8 categories are comparable. 18 results are unique to Ling 2.6 Flash; 11 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 0
- Ling 2.6 Flash only
- 18
- MiMo-V2.5 only
- 11
- Comparable categories
- 1 / 8
Pick MiMo-V2.5 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 0 shared benchmark results across 0 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-V2.5 is clearly ahead on the BenchAlign aggregate, 58.62 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5's sharpest advantage is in coding, where it averages 56.1 against 27.
MiMo-V2.5 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-V2.5 gives you the larger context window at 1M, compared with 262K for Ling 2.6 Flash.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 86% | — | Not comparable |
| GDPval-AASource | 2.2% | — | Not comparable |
| GDPval-AASource | 545 | — | Not comparable |
| AA Agentic IndexSource | 2.3% | — | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| Terminal-Bench 2.0Source | — | 65.8% | Not comparable |
| Gert LabsSource | — | 46.89% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
CodingMiMo-V2.5 wins5 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | — | Not comparable |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | — | Not comparable |
| AA-HLESource | 6.2% | — | Not comparable |
| AA-Omniscience IndexSource | -65.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 95.8% | — | Not comparable |
Multimodal4 benchmarks
Frequently Asked Questions (2)
Which is better, Ling 2.6 Flash or MiMo-V2.5?
MiMo-V2.5 is ahead on BenchLM's BenchAlign leaderboard, 58.62 to 43.87.
Which is better for coding, Ling 2.6 Flash or MiMo-V2.5?
MiMo-V2.5 has the edge for coding in this comparison, averaging 56.1 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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