Model comparison
Ling 2.6 Flash vs o3-mini
Head-to-head evidence from 6 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and o3-mini share 6 comparable benchmark results. 3 of 8 categories are comparable. 12 results are unique to Ling 2.6 Flash; 4 to o3-mini.
Updated July 21, 2026- Shared results
- 6
- Ling 2.6 Flash only
- 12
- o3-mini only
- 4
- Comparable categories
- 3 / 8
Pick o3-mini 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 6 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
o3-mini is clearly ahead on the BenchAlign aggregate, 47.41 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in instruction following, where it averages 93.9 against 57. The single biggest benchmark swing on the page is GPQA, 59% to 77.2%.
o3-mini 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 200K for o3-mini.
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 | o3-mini |
|---|---|---|---|
| Inst. Following | Ling 2.6 Flash57.0 | Margin→ 36.9 | o3-mini93.9 |
| Coding | Ling 2.6 Flash27.0 | Margin→ 22.3 | o3-mini49.3 |
| Knowledge | Ling 2.6 Flash59.0 | Margin→ 18.2 | o3-mini77.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 59%B 77.2%Winner: o3-miniΔ 18.2GPQA: Ling 2.6 Flash scored 59%; o3-mini scored 77.2%. o3-mini 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 | o3-mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | o3-mini$1.1 input / $4.4 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | o3-mini160 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | o3-mini7.12 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | o3-mini200K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Codingo3-mini wins4 benchmarks
Reasoning2 benchmarks
Knowledgeo3-mini wins8 benchmarks
| Benchmark | Ling 2.6 Flash | o3-mini | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 19.0% | o3-mini leads |
| GPQASource | 59% | 77.2% | o3-mini leads |
| AA-GPQA DiamondSource | 59.3% | 74.8% | o3-mini leads |
| AA-HLESource | 6.2% | 8.7% | o3-mini leads |
| AA-Omniscience IndexSource | -65.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 95.8% | — | Not comparable |
| MMLUSource | — | 86.9% | Not comparable |
Math1 benchmarks
| Benchmark | Ling 2.6 Flash | o3-mini | Result |
|---|---|---|---|
| AIME 2024Source | — | 87.3% | Not comparable |
Frequently Asked Questions (4)
Which is better, Ling 2.6 Flash or o3-mini?
o3-mini is ahead on BenchLM's BenchAlign leaderboard, 47.41 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 59% and 77.2%.
Which is better for knowledge tasks, Ling 2.6 Flash or o3-mini?
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 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 o3-mini?
o3-mini has the edge for coding in this comparison, averaging 49.3 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for instruction following, Ling 2.6 Flash or o3-mini?
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 57. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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