Model comparison
Kimi K2.5 (Reasoning) vs Ling 2.6 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: Kimi K2.5 (Reasoning) #57 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.5 (Reasoning) and Ling 2.6 Flash share 16 comparable benchmark results. 2 of 8 categories are comparable. 11 results are unique to Kimi K2.5 (Reasoning); 2 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 16
- Kimi K2.5 (Reasoning) only
- 11
- Ling 2.6 Flash only
- 2
- Comparable categories
- 2 / 8
Pick Kimi K2.5 (Reasoning) 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
Kimi K2.5 (Reasoning) is clearly ahead on the BenchAlign aggregate, 59.35 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 76.8 against 27. The single biggest benchmark swing on the page is GPQA, 87.6% to 59%.
Kimi K2.5 (Reasoning) 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 Kimi K2.5 (Reasoning).
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 | Kimi K2.5 (Reasoning) | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Kimi K2.5 (Reasoning)76.8 | Margin← 49.8 | Ling 2.6 Flash27.0 |
| Knowledge | Kimi K2.5 (Reasoning)87.2 | Margin← 28.2 | Ling 2.6 Flash59.0 |
| Agentic | Kimi K2.5 (Reasoning)55.0 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Multimodal | Kimi K2.5 (Reasoning)78.5 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Kimi K2.5 (Reasoning)Not measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 87.6%B 59%Winner: Kimi K2.5 (Reasoning)Δ 28.6GPQA: Kimi K2.5 (Reasoning) scored 87.6%; Ling 2.6 Flash scored 59%. Kimi K2.5 (Reasoning) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.5 (Reasoning) | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.5 (Reasoning)$0.6 input / $3 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K2.5 (Reasoning)Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.5 (Reasoning)Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.5 (Reasoning)128K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50.8% | — | Not comparable |
| BrowseCompSource | 60.6% | — | Not comparable |
| APEX-Agents-AASource | 11.5% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | 86% | Kimi K2.5 (Reasoning) leads |
| Gert LabsSource | 32.58% | — | Not comparable |
| AA Agentic IndexSource | 21.7% | 2.3% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 25.4% | 2.2% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 1009 | 545 | Kimi K2.5 (Reasoning) leads |
CodingKimi K2.5 (Reasoning) wins5 benchmarks
Reasoning2 benchmarks
KnowledgeKimi K2.5 (Reasoning) wins8 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 87.6% | 59% | Kimi K2.5 (Reasoning) leads |
| MMLU-ProSource | 87.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.4% | 14.1% | Kimi K2.5 (Reasoning) leads |
| AA-GPQA DiamondSource | 87.9% | 59.3% | Kimi K2.5 (Reasoning) leads |
| AA-HLESource | 29.4% | 6.2% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience IndexSource | -8.1% | -65.7% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience AccuracySource | 34.3% | 15.4% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 64.6% | 95.8% | Kimi K2.5 (Reasoning) leads |
Math1 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | Ling 2.6 Flash | Result |
|---|---|---|---|
| AIME 2025Source | 96.1% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?
Kimi K2.5 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 59.35 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 87.6% and 59%.
Which is better for knowledge tasks, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.2 versus 59. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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