Model comparison
Ling 2.6 Flash vs Mellum2-12B-A2.5B-Thinking
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); Mellum2-12B-A2.5B-Thinking unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and Mellum2-12B-A2.5B-Thinking share 1 comparable benchmark result. 2 of 8 categories are comparable. 17 results are unique to Ling 2.6 Flash; 4 to Mellum2-12B-A2.5B-Thinking.
Updated July 23, 2026- Shared results
- 1
- Ling 2.6 Flash only
- 17
- Mellum2-12B-A2.5B-Thinking only
- 4
- Comparable categories
- 2 / 8
Treat this as a split decision. Ling 2.6 Flash makes more sense if knowledge is the priority or you need the larger 262K context window; Mellum2-12B-A2.5B-Thinking is the better fit if instruction following is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Ling 2.6 Flash and Mellum2-12B-A2.5B-Thinking finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Mellum2-12B-A2.5B-Thinking 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 128K for Mellum2-12B-A2.5B-Thinking.
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 | Mellum2-12B-A2.5B-Thinking |
|---|---|---|---|
| Inst. Following | Ling 2.6 Flash57.0 | Margin→ 19.5 | Mellum2-12B-A2.5B-Thinking76.5 |
| Knowledge | Ling 2.6 Flash59.0 | Margin← 1.4 | Mellum2-12B-A2.5B-Thinking57.6 |
| Coding | Ling 2.6 Flash27.0 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 59%B 57.6%Winner: Ling 2.6 FlashΔ 1.4GPQA: Ling 2.6 Flash scored 59%; Mellum2-12B-A2.5B-Thinking scored 57.6%. Ling 2.6 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 | Mellum2-12B-A2.5B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | Mellum2-12B-A2.5B-ThinkingNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | Mellum2-12B-A2.5B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | Mellum2-12B-A2.5B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | Mellum2-12B-A2.5B-Thinking128K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeLing 2.6 Flash wins9 benchmarks
| Benchmark | Ling 2.6 Flash | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | — | Not comparable |
| GPQASource | 59% | 57.6% | Ling 2.6 Flash leads |
| 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 |
| MMLU-ReduxSource | — | 86.2% | Not comparable |
| GPQA-DSource | — | 57.6% | Not comparable |
Frequently Asked Questions (3)
Which is better, Ling 2.6 Flash or Mellum2-12B-A2.5B-Thinking?
Ling 2.6 Flash and Mellum2-12B-A2.5B-Thinking are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Ling 2.6 Flash or Mellum2-12B-A2.5B-Thinking?
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, Ling 2.6 Flash or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for instruction following in this comparison, averaging 76.5 versus 57. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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