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Model comparison

Grok 4.5 vs Sarvam 105B

Data verified

Head-to-head evidence from 9 shared benchmark results across 3 categories. Overall scores shown here use BenchLM's provisional ranking lane.

81/100
Margin
39.0pts
← winning
42/100
0 category wins0 category wins

Evidence parity. Grok 4.5 and Sarvam 105B share 9 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Grok 4.5; 3 to Sarvam 105B.

Updated July 14, 2026
Shared results
9
Grok 4.5 only
18
Sarvam 105B only
3
Comparable categories
0 / 8

Benchmark data for Grok 4.5 and Sarvam 105B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 3 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.

Grok 4.5 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. Grok 4.5 has the larger context window at 500K, compared with 128K for Sarvam 105B.

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 scores and score margins for Grok 4.5 and Sarvam 105B
CategoryGrok 4.5ΔSarvam 105B
AgenticGrok 4.583.3MarginNo overlapSarvam 105BNot measured
CodingGrok 4.564.7MarginNo overlapSarvam 105BNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGrok 4.5Sarvam 105BComparison
Input / output priceUSD per 1M tokensGrok 4.5$2 input / $6 outputSarvam 105B$0 input / $0 outputSarvam 105B has the lower combined listed price.
Generation speedtokens per secondGrok 4.5Not availableSarvam 105BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.5Not availableSarvam 105BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.5500KSarvam 105B128KGrok 4.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGrok 4.5Sarvam 105BResult
Terminal-Bench 2.0Source 83.3%Not comparable
deepSweSource 53%Not comparable
AA Agentic IndexSource 45.7%Not comparable
GDPval-AASource 51.9%Not comparable
GDPval-AASource 1539Not comparable
AA BriefcaseSource 1324Not comparable
AA AutomationBenchSource 51.4%Not comparable
AA EnterpriseOps-GymSource 40.8%Not comparable
AA Harvey LABSource 13.3%Not comparable
AA Tau3 BankingSource 32.6%Not comparable
Tau2-TelecomSource 46.8%Not comparable
Coding
BenchmarkGrok 4.5Sarvam 105BResult
SWE-bench ProSource 64.7%Not comparable
SWE MultilingualSource 78%Not comparable
Terminal-Bench 2.0Source 83.3%Not comparable
cursorBench32Source 66.7%Not comparable
AA Coding IndexSource 72.5%Not comparable
AA-SciCodeSource 54.1%26.4%Grok 4.5 leads
AA Terminal-Bench 2.1Source 81.6%Not comparable
Terminal-Bench HardSource 1.5%Not comparable
Reasoning
BenchmarkGrok 4.5Sarvam 105BResult
AA-LCRSource 67.7%0.0%Grok 4.5 leads
CritPtSource 15.4%0.0%Grok 4.5 leads
Knowledge
BenchmarkGrok 4.5Sarvam 105BResult
Artificial Analysis Intelligence IndexSource 53.8%11.9%Grok 4.5 leads
AA-GPQA DiamondSource 93.1%73.8%Grok 4.5 leads
AA-HLESource 40.3%10.1%Grok 4.5 leads
AA-Omniscience IndexSource 26.4%-59.5%Grok 4.5 leads
AA-Omniscience AccuracySource 52.1%17.6%Grok 4.5 leads
AA-Omniscience Hallucination RateSource 53.5%93.5%Grok 4.5 leads
Multimodal
BenchmarkGrok 4.5Sarvam 105BResult
AA-MMMU-ProSource 80.4%Not comparable
Design Arena WebsiteSource 1329Not comparable
Inst. Following
BenchmarkGrok 4.5Sarvam 105BResult
AA-IFBenchSource 34.4%Not comparable
Frequently Asked Questions (3)

Can I compare Grok 4.5 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 Grok 4.5 and Sarvam 105B today?

Grok 4.5: $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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Last updated: July 14, 2026

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