Model comparison
Celeris-1 vs Sarvam 105B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Celeris-1 unranked (Not scored); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and Sarvam 105B share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Celeris-1; 11 to Sarvam 105B.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Sarvam 105B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Celeris-1 and Sarvam 105B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Celeris-1 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 105B. Sarvam 105B has the larger context window at 128K, compared with 8K for Celeris-1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Celeris-1 | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Sarvam 105B$0 input / $0 output | Sarvam 105B has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Sarvam 105B128K | Sarvam 105B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Celeris-1 | Sarvam 105B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 46.8% | Not comparable |
Coding1 benchmarks
| Benchmark | Celeris-1 | Sarvam 105B | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 26.4% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Celeris-1 | Sarvam 105B | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 11.9% | Not comparable |
| AA-GPQA DiamondSource | — | 73.8% | Not comparable |
| AA-HLESource | — | 10.1% | Not comparable |
| AA-Omniscience IndexSource | — | -59.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 17.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 93.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Celeris-1 | Sarvam 105B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 34.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Celeris-1 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 Celeris-1 and Sarvam 105B today?
Celeris-1: $2.00 input / $6.00 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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