Model comparison
Gemini 2.5 Flash vs Ling 2.6 Flash
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Flash #130 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Flash and Ling 2.6 Flash share 11 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemini 2.5 Flash; 7 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 11
- Gemini 2.5 Flash only
- 4
- Ling 2.6 Flash only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Gemini 2.5 Flash and Ling 2.6 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 2.5 Flash has the larger context window at 1M, compared with 262K for Ling 2.6 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 | Gemini 2.5 Flash | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Gemini 2.5 FlashNot measured | MarginNo overlap | Ling 2.6 Flash27.0 |
| Knowledge | Gemini 2.5 FlashNot measured | MarginNo overlap | Ling 2.6 Flash59.0 |
| Math | Gemini 2.5 Flash4.7 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Gemini 2.5 FlashNot measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Flash | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Flash$0.3 input / $2.5 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 2.5 Flash221 tok/s | Ling 2.6 Flash209.5 tok/s | Gemini 2.5 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 2.5 Flash0.50 s | Ling 2.6 Flash1.07 s | Gemini 2.5 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 2.5 Flash1M | Ling 2.6 Flash262K | Gemini 2.5 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Gemini 2.5 Flash | Ling 2.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 14.1% | Gemini 2.5 Flash leads |
| AA-GPQA DiamondSource | 68.3% | 59.3% | Gemini 2.5 Flash leads |
| AA-HLESource | 5.1% | 6.2% | Ling 2.6 Flash leads |
| AA-Omniscience IndexSource | -42.0% | -65.7% | Gemini 2.5 Flash leads |
| AA-Omniscience AccuracySource | 26.5% | 15.4% | Gemini 2.5 Flash leads |
| AA-Omniscience Hallucination RateSource | 93.3% | 95.8% | Gemini 2.5 Flash leads |
| GPQASource | — | 59% | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 2.5 Flash and Ling 2.6 Flash 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 Gemini 2.5 Flash and Ling 2.6 Flash today?
Gemini 2.5 Flash: $0.30 input / $2.50 output per 1M tokens Ling 2.6 Flash: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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