Model comparison
Sarvam 30B vs Step 3.7 Flash
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: Sarvam 30B estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Sarvam 30B and Step 3.7 Flash share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Sarvam 30B; 18 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 12
- Sarvam 30B only
- 0
- Step 3.7 Flash only
- 18
- Comparable categories
- 0 / 8
Benchmark data for Sarvam 30B and Step 3.7 Flash 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.
Step 3.7 Flash is priced at $0.20 input / $1.15 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 30B. Step 3.7 Flash has the larger context window at 256K, 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 | Sarvam 30B | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | Sarvam 30BNot measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | Sarvam 30BNot measured | MarginNo overlap | Step 3.7 Flash56.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Sarvam 30B | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Sarvam 30B$0 input / $0 output | Step 3.7 Flash$0.2 input / $1.15 output | Sarvam 30B has the lower combined listed price. |
| Generation speedtokens per second | Sarvam 30BNot available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Sarvam 30BNot available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Sarvam 30B64K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Sarvam 30B | Step 3.7 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 34.5% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Sarvam 30B | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 6.6% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 63.3% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 7.0% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -72.0% | -37.5% | Step 3.7 Flash leads |
| AA-Omniscience AccuracySource | 12.7% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 97.0% | 84.4% | Step 3.7 Flash leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Sarvam 30B | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 26.5% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare Sarvam 30B and Step 3.7 Flash 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 Sarvam 30B and Step 3.7 Flash today?
Sarvam 30B: $0.00 input / $0.00 output per 1M tokens Step 3.7 Flash: $0.20 input / $1.15 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.