Model comparison
Ling 2.6 Flash vs Llama 4 Maverick
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: Ling 2.6 Flash #154 (Estimated); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 2.6 Flash and Llama 4 Maverick share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Ling 2.6 Flash; 3 to Llama 4 Maverick.
Updated July 21, 2026- Shared results
- 15
- Ling 2.6 Flash only
- 3
- Llama 4 Maverick only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Ling 2.6 Flash and Llama 4 Maverick is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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.
Llama 4 Maverick 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 | Ling 2.6 Flash | Δ | Llama 4 Maverick |
|---|---|---|---|
| Coding | Ling 2.6 Flash27.0 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | Ling 2.6 Flash59.0 | MarginNo overlap | Llama 4 MaverickNot measured |
| Math | Ling 2.6 FlashNot measured | MarginNo overlap | Llama 4 Maverick0.7 |
| Inst. Following | Ling 2.6 Flash57.0 | MarginNo overlap | Llama 4 MaverickNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 2.6 Flash | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 2.6 FlashNot available | Llama 4 Maverick$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 2.6 Flash209.5 tok/s | Llama 4 Maverick121 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Ling 2.6 Flash1.07 s | Llama 4 Maverick0.95 s | Llama 4 Maverick reaches the first token sooner. |
| Context windowmaximum listed tokens | Ling 2.6 Flash262K | Llama 4 Maverick1M | Llama 4 Maverick lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Ling 2.6 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 14.3% | Llama 4 Maverick leads |
| GPQASource | 59% | — | Not comparable |
| AA-GPQA DiamondSource | 59.3% | 67.1% | Llama 4 Maverick leads |
| AA-HLESource | 6.2% | 4.8% | Ling 2.6 Flash leads |
| AA-Omniscience IndexSource | -65.7% | -41.8% | Llama 4 Maverick leads |
| AA-Omniscience AccuracySource | 15.4% | 24.3% | Llama 4 Maverick leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 87.3% | Llama 4 Maverick leads |
Math1 benchmarks
| Benchmark | Ling 2.6 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 0.690% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Ling 2.6 Flash and Llama 4 Maverick 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 Llama 4 Maverick today?
Ling 2.6 Flash: Pricing unavailable Llama 4 Maverick: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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