Model comparison
Claude Haiku 4.5 Thinking 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: Claude Haiku 4.5 Thinking unranked (Not scored); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 Thinking and Sarvam 105B share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Haiku 4.5 Thinking; 11 to Sarvam 105B.
Updated July 23, 2026- Shared results
- 0
- Claude Haiku 4.5 Thinking only
- 2
- Sarvam 105B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 Thinking 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.
Claude Haiku 4.5 Thinking has the larger context window at 200K, compared with 128K for Sarvam 105B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 Thinking | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5 ThinkingNot available | Sarvam 105B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Haiku 4.5 ThinkingNot available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5 ThinkingNot available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5 Thinking200K | Sarvam 105B128K | Claude Haiku 4.5 Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Sarvam 105B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 46.8% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Sarvam 105B | Result |
|---|---|---|---|
| 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 |
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Sarvam 105B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Sarvam 105B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 34.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 Thinking 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 Haiku 4.5 Thinking and Sarvam 105B today?
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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