Model comparison
Exaone 4.0 32B vs Sarvam 30B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Exaone 4.0 32B #170 (Estimated); Sarvam 30B #169 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Exaone 4.0 32B and Sarvam 30B share 11 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Exaone 4.0 32B; 0 to Sarvam 30B.
Updated July 23, 2026- Shared results
- 11
- Exaone 4.0 32B only
- 2
- Sarvam 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Exaone 4.0 32B and Sarvam 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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.
Exaone 4.0 32B 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 | Exaone 4.0 32B | Δ | Sarvam 30B |
|---|---|---|---|
| Knowledge | Exaone 4.0 32B81.8 | MarginNo overlap | Sarvam 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Exaone 4.0 32B | Sarvam 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Exaone 4.0 32BNot available | Sarvam 30B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Exaone 4.0 32BNot available | Sarvam 30BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Exaone 4.0 32BNot available | Sarvam 30BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Exaone 4.0 32B128K | Sarvam 30B64K | Exaone 4.0 32B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Exaone 4.0 32B | Sarvam 30B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 4.1% | 34.5% | Sarvam 30B leads |
Coding1 benchmarks
| Benchmark | Exaone 4.0 32B | Sarvam 30B | Result |
|---|---|---|---|
| AA-SciCodeSource | 25.2% | 19.2% | Exaone 4.0 32B leads |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Exaone 4.0 32B | Sarvam 30B | Result |
|---|---|---|---|
| MMLU-ProSource | 81.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 6.0% | 6.6% | Sarvam 30B leads |
| AA-GPQA DiamondSource | 62.8% | 63.3% | Sarvam 30B leads |
| AA-HLESource | 4.9% | 7.0% | Sarvam 30B leads |
| AA-Omniscience IndexSource | -62.3% | -72.0% | Exaone 4.0 32B leads |
| AA-Omniscience AccuracySource | 10.4% | 12.7% | Sarvam 30B leads |
| AA-Omniscience Hallucination RateSource | 81.0% | 97.0% | Exaone 4.0 32B leads |
Math1 benchmarks
| Benchmark | Exaone 4.0 32B | Sarvam 30B | Result |
|---|---|---|---|
| AIME 2025Source | 85.3% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Exaone 4.0 32B | Sarvam 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.5% | 26.5% | Exaone 4.0 32B leads |
Frequently Asked Questions (3)
Can I compare Exaone 4.0 32B 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 Exaone 4.0 32B and Sarvam 30B today?
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.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.