Model comparison
Ling 2.6 Flash vs Mercury 2
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); Mercury 2 #105 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and Mercury 2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Ling 2.6 Flash; 0 to Mercury 2.
Updated July 21, 2026- Shared results
- 0
- Ling 2.6 Flash only
- 18
- Mercury 2 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Ling 2.6 Flash and Mercury 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Mercury 2 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Ling 2.6 Flash has the larger context window at 262K, compared with 128K for Mercury 2.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | Mercury 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | Mercury 2$0.25 input / $0.75 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | Mercury 2789 tok/s | Mercury 2 has the higher measured throughput. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | Mercury 23.88 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | Mercury 2128K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | Mercury 2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | — | Not comparable |
| GPQASource | 59% | — | Not comparable |
| 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 |
Frequently Asked Questions (3)
Can I compare Ling 2.6 Flash and Mercury 2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Ling 2.6 Flash and Mercury 2 today?
Ling 2.6 Flash: Pricing unavailable Mercury 2: $0.25 input / $0.75 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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