Model comparison
Claude Sonnet 5 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: Claude Sonnet 5 #29 (Estimated); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Sarvam 105B share 9 comparable benchmark results. 0 of 8 categories are comparable. 27 results are unique to Claude Sonnet 5; 2 to Sarvam 105B.
Updated July 23, 2026- Shared results
- 9
- Claude Sonnet 5 only
- 27
- Sarvam 105B only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 5 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.
Claude Sonnet 5 is priced at $2.00 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 105B. Claude Sonnet 5 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 | Claude Sonnet 5 | Δ | Sarvam 105B |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | Sarvam 105BNot measured |
| Coding | Claude Sonnet 576.7 | MarginNo overlap | Sarvam 105BNot measured |
| Knowledge | Claude Sonnet 557.4 | MarginNo overlap | Sarvam 105BNot measured |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | Sarvam 105BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Sarvam 105B$0 input / $0 output | Sarvam 105B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Sarvam 105B128K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Claude Sonnet 5 | Sarvam 105B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | — | Not comparable |
| AA Agentic IndexSource | 46.7% | — | Not comparable |
| GDPval-AASource | 55.4% | — | Not comparable |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| τ²-bench resultsSource | — | 46.8% | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Sonnet 5 | Sarvam 105B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | — | Not comparable |
| AA-SciCodeSource | 53.6% | 26.4% | Claude Sonnet 5 leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Sonnet 5 | Sarvam 105B | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 11.9% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 73.8% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 10.1% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -59.5% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 17.6% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 93.5% | Claude Sonnet 5 leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | Sarvam 105B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 34.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 5 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 Claude Sonnet 5 and Sarvam 105B today?
Claude Sonnet 5: $2.00 input / $10.00 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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