Model comparison
Claude Opus 4.7 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: Claude Opus 4.7 supported; Sarvam 30B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and Sarvam 30B share 12 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Claude Opus 4.7; 0 to Sarvam 30B.
Updated July 16, 2026- Shared results
- 12
- Claude Opus 4.7 only
- 10
- Sarvam 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.7 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.
Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 30B. Claude Opus 4.7 has the larger context window at 1M, 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 | Claude Opus 4.7 | Δ | Sarvam 30B |
|---|---|---|---|
| Math | Claude Opus 4.738.6 | MarginNo overlap | Sarvam 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | Sarvam 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Sarvam 30B$0 input / $0 output | Sarvam 30B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Sarvam 30BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Sarvam 30BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Sarvam 30B64K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Opus 4.7 | Sarvam 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 6.6% | Claude Opus 4.7 leads |
| AA-GPQA DiamondSource | 88.5% | 63.3% | Claude Opus 4.7 leads |
| AA-HLESource | 31.2% | 7.0% | Claude Opus 4.7 leads |
| AA-Omniscience IndexSource | 14.2% | -72.0% | Claude Opus 4.7 leads |
| AA-Omniscience AccuracySource | 43.5% | 12.7% | Claude Opus 4.7 leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 97.0% | Claude Opus 4.7 leads |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | Sarvam 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | 26.5% | Claude Opus 4.7 leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.7 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 Claude Opus 4.7 and Sarvam 30B today?
Claude Opus 4.7: $5.00 input / $25.00 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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