Model comparison
Ling 2.6 Flash vs MiMo-V2-Flash
Head-to-head evidence from 16 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-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and MiMo-V2-Flash share 16 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Ling 2.6 Flash; 3 to MiMo-V2-Flash.
Updated July 21, 2026- Shared results
- 16
- Ling 2.6 Flash only
- 2
- MiMo-V2-Flash only
- 3
- Comparable categories
- 2 / 8
Pick MiMo-V2-Flash if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you need the larger 262K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 16 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-Flash is clearly ahead on the BenchAlign aggregate, 54.06 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in coding, where it averages 73.4 against 27. The single biggest benchmark swing on the page is GPQA, 59% to 83.7%.
MiMo-V2-Flash 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. Ling 2.6 Flash gives you the larger context window at 262K, compared with 256K for MiMo-V2-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-Flash |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | Margin→ 46.4 | MiMo-V2-Flash73.4 |
| Knowledge | Ling 2.6 Flash59.0 | Margin→ 25.7 | MiMo-V2-Flash84.7 |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | MiMo-V2-FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 59%B 83.7%Winner: MiMo-V2-FlashΔ 24.7GPQA: Ling 2.6 Flash scored 59%; MiMo-V2-Flash scored 83.7%. MiMo-V2-Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | MiMo-V2-Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | MiMo-V2-Flash$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | MiMo-V2-Flash129 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | MiMo-V2-Flash2.14 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | MiMo-V2-Flash256K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
CodingMiMo-V2-Flash wins4 benchmarks
Reasoning2 benchmarks
KnowledgeMiMo-V2-Flash wins8 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 24.7% | MiMo-V2-Flash leads |
| GPQASource | 59% | 83.7% | MiMo-V2-Flash leads |
| AA-GPQA DiamondSource | 59.3% | 65.6% | MiMo-V2-Flash leads |
| AA-HLESource | 6.2% | 8.0% | MiMo-V2-Flash leads |
| AA-Omniscience IndexSource | -65.7% | -48.5% | MiMo-V2-Flash leads |
| AA-Omniscience AccuracySource | 15.4% | 15.2% | Ling 2.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 75.1% | MiMo-V2-Flash leads |
| MMLU-ProSource | — | 84.9% | Not comparable |
Math1 benchmarks
| Benchmark | Ling 2.6 Flash | MiMo-V2-Flash | Result |
|---|---|---|---|
| AIME 2025Source | — | 94.1% | Not comparable |
Frequently Asked Questions (3)
Which is better, Ling 2.6 Flash or MiMo-V2-Flash?
MiMo-V2-Flash is ahead on BenchLM's BenchAlign leaderboard, 54.06 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 59% and 83.7%.
Which is better for knowledge tasks, Ling 2.6 Flash or MiMo-V2-Flash?
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.7 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, Ling 2.6 Flash or MiMo-V2-Flash?
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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