Model comparison
Ling 3.0 Flash vs Sarvam 30B
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 3.0 Flash unranked (Not scored); Sarvam 30B #178 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ling 3.0 Flash and Sarvam 30B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Ling 3.0 Flash; 11 to Sarvam 30B.
Updated July 24, 2026- Shared results
- 0
- Ling 3.0 Flash only
- 0
- Sarvam 30B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Ling 3.0 Flash and Sarvam 30B 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 Ling 3.0 Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Ling 3.0 Flash has the larger context window at 262K, compared with 64K for Sarvam 30B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ling 3.0 Flash | Sarvam 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ling 3.0 FlashNot available | Sarvam 30B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Ling 3.0 FlashNot available | Sarvam 30BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ling 3.0 FlashNot available | Sarvam 30BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ling 3.0 Flash262K | Sarvam 30B64K | Ling 3.0 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Ling 3.0 Flash | Sarvam 30B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 34.5% | Not comparable |
Coding1 benchmarks
| Benchmark | Ling 3.0 Flash | Sarvam 30B | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 19.2% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Ling 3.0 Flash | Sarvam 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 6.6% | Not comparable |
| AA-GPQA DiamondSource | — | 63.3% | Not comparable |
| AA-HLESource | — | 7.0% | Not comparable |
| AA-Omniscience IndexSource | — | -72.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 12.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 97.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Ling 3.0 Flash | Sarvam 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 26.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Ling 3.0 Flash and Sarvam 30B 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 3.0 Flash and Sarvam 30B today?
Ling 3.0 Flash: Pricing unavailable Sarvam 30B: $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.