Model comparison
Gemma 4 26B A4B vs Ling 2.6 Flash
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 26B A4B #67 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and Ling 2.6 Flash share 15 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Gemma 4 26B A4B; 3 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 15
- Gemma 4 26B A4B only
- 5
- Ling 2.6 Flash only
- 3
- Comparable categories
- 1 / 8
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if knowledge is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemma 4 26B A4B is clearly ahead on the BenchAlign aggregate, 57.96 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B 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 256K for Gemma 4 26B A4B.
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 | Gemma 4 26B A4B | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Knowledge | Gemma 4 26B A4B43.4 | Margin→ 15.6 | Ling 2.6 Flash59.0 |
| Coding | Gemma 4 26B A4BNot measured | MarginNo overlap | Ling 2.6 Flash27.0 |
| Multimodal | Gemma 4 26B A4B73.8 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Gemma 4 26B A4BNot 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 | Gemma 4 26B A4B | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeLing 2.6 Flash wins10 benchmarks
| Benchmark | Gemma 4 26B A4B | Ling 2.6 Flash | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | — | Not comparable |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | 14.1% | Gemma 4 26B A4B leads |
| AA-GPQA DiamondSource | 79.2% | 59.3% | Gemma 4 26B A4B leads |
| AA-HLESource | 18.3% | 6.2% | Gemma 4 26B A4B leads |
| AA-Omniscience IndexSource | -48.1% | -65.7% | Gemma 4 26B A4B leads |
| AA-Omniscience AccuracySource | 18.2% | 15.4% | Gemma 4 26B A4B leads |
| AA-Omniscience Hallucination RateSource | 80.9% | 95.8% | Gemma 4 26B A4B leads |
| GPQASource | — | 59% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemma 4 26B A4B or Ling 2.6 Flash?
Gemma 4 26B A4B is ahead on BenchLM's BenchAlign leaderboard, 57.96 to 43.87.
Which is better for knowledge tasks, Gemma 4 26B A4B or Ling 2.6 Flash?
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 43.4. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.
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