Model comparison
LFM2.5-8B-A1B vs Sarvam 30B
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: LFM2.5-8B-A1B estimated; Sarvam 30B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-8B-A1B and Sarvam 30B share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 0 to Sarvam 30B.
Updated July 16, 2026- Shared results
- 12
- LFM2.5-8B-A1B only
- 6
- Sarvam 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-8B-A1B and Sarvam 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 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.
LFM2.5-8B-A1B has the larger context window at 128K, compared with 64K for Sarvam 30B.
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 | LFM2.5-8B-A1B | Δ | Sarvam 30B |
|---|---|---|---|
| Math | LFM2.5-8B-A1B50.0 | MarginNo overlap | Sarvam 30BNot measured |
| Inst. Following | LFM2.5-8B-A1B68.8 | MarginNo overlap | Sarvam 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-8B-A1B | Sarvam 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-8B-A1B$0 input / $0 output | Sarvam 30B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | LFM2.5-8B-A1BNot available | Sarvam 30BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-8B-A1BNot available | Sarvam 30BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-8B-A1B128K | Sarvam 30B64K | LFM2.5-8B-A1B lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-8B-A1B | Sarvam 30B | Result |
|---|---|---|---|
| AA-GPQA DiamondSource | 51.3% | 63.3% | Sarvam 30B leads |
| AA-HLESource | 6.9% | 7.0% | Sarvam 30B leads |
| AA-Omniscience IndexSource | -33.3% | -72.0% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 9.4% | 12.7% | Sarvam 30B leads |
| AA-Omniscience Hallucination RateSource | 47.0% | 97.0% | LFM2.5-8B-A1B leads |
| Artificial Analysis Intelligence IndexSource | 8.3% | 6.6% | LFM2.5-8B-A1B leads |
Math3 benchmarks
Frequently Asked Questions (3)
Can I compare LFM2.5-8B-A1B 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 LFM2.5-8B-A1B and Sarvam 30B today?
LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens 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.
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