Model comparison
Ling 2.6 Flash vs MiMo-V2.5-Pro
Head-to-head evidence from 15 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-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and MiMo-V2.5-Pro share 15 comparable benchmark results. 2 of 8 categories are comparable. 3 results are unique to Ling 2.6 Flash; 16 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 15
- Ling 2.6 Flash only
- 3
- MiMo-V2.5-Pro only
- 16
- Comparable categories
- 2 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 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
MiMo-V2.5-Pro is clearly ahead on the BenchAlign aggregate, 70.19 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-Pro's sharpest advantage is in coding, where it averages 57.2 against 27. Ling 2.6 Flash does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-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-V2.5-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-V2.5-Pro |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | Margin→ 30.2 | MiMo-V2.5-Pro57.2 |
| Knowledge | Ling 2.6 Flash59.0 | Margin← 11.0 | MiMo-V2.5-Pro48.0 |
| Agentic | Ling 2.6 FlashNot measured | MarginNo overlap | MiMo-V2.5-Pro68.4 |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | MiMo-V2.5-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-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 86% | 94.2% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 2.2% | 38.3% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 545 | 1265 | MiMo-V2.5-Pro leads |
| AA Agentic IndexSource | 2.3% | 29.1% | MiMo-V2.5-Pro leads |
| Claw-EvalSource | — | 63.8% | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| APEX-Agents-AASource | — | 2.4% | Not comparable |
| Gert LabsSource | — | 62.70% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| terminalBenchHardSource | — | 43.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
CodingMiMo-V2.5-Pro wins5 benchmarks
Reasoning2 benchmarks
KnowledgeLing 2.6 Flash wins10 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 42.2% | MiMo-V2.5-Pro leads |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | 86.6% | MiMo-V2.5-Pro leads |
| AA-HLESource | 6.2% | 33.8% | MiMo-V2.5-Pro leads |
| AA-Omniscience IndexSource | -65.7% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 15.4% | 22.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 24.5% | MiMo-V2.5-Pro leads |
| HLESource | — | 48% | Not comparable |
| HLE w/o toolsSource | — | 34% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1298 | Not comparable |
Frequently Asked Questions (3)
Which is better, Ling 2.6 Flash or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 43.87.
Which is better for knowledge tasks, Ling 2.6 Flash or MiMo-V2.5-Pro?
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Ling 2.6 Flash or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for coding in this comparison, averaging 57.2 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.