Model comparison
Gemini 3.6 Flash vs Sarvam 105B
Head-to-head evidence from 9 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.6 Flash unranked (Not scored); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and Sarvam 105B share 9 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Gemini 3.6 Flash; 2 to Sarvam 105B.
Updated July 21, 2026- Shared results
- 9
- Gemini 3.6 Flash only
- 10
- Sarvam 105B only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.6 Flash and Sarvam 105B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 3 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 3.6 Flash is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 105B. Gemini 3.6 Flash has the larger context window at 1M, compared with 128K for Sarvam 105B.
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 3.6 Flash | Δ | Sarvam 105B |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | MarginNo overlap | Sarvam 105BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | Sarvam 105B$0 input / $0 output | Sarvam 105B has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | Sarvam 105B128K | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemini 3.6 Flash | Sarvam 105B | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | — | Not comparable |
| AA Agentic IndexSource | 38.7% | — | Not comparable |
| GDPval-AASource | 46.1% | — | Not comparable |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| τ²-bench resultsSource | — | 46.8% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 3.6 Flash | Sarvam 105B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 11.9% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 92.8% | 73.8% | Gemini 3.6 Flash leads |
| AA-HLESource | 38.3% | 10.1% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 23.5% | -59.5% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 17.6% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 93.5% | Gemini 3.6 Flash leads |
Multimodal1 benchmarks
| Benchmark | Gemini 3.6 Flash | Sarvam 105B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 83.2% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | Sarvam 105B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 34.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.6 Flash and Sarvam 105B 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 3.6 Flash and Sarvam 105B today?
Gemini 3.6 Flash: $1.50 input / $7.50 output per 1M tokens Sarvam 105B: $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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