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Model comparison

DeepSeek V4 Pro Base vs Sarvam 105B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
42.97/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro Base unranked (Not scored); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro Base and Sarvam 105B share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 11 to Sarvam 105B.

Updated July 23, 2026
Shared results
0
DeepSeek V4 Pro Base only
24
Sarvam 105B only
11
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Pro Base 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.

DeepSeek V4 Pro Base has the larger context window at 1M, compared with 128K for Sarvam 105B.

Operational comparison

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

MetricDeepSeek V4 Pro BaseSarvam 105BComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro BaseNot availableSarvam 105B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro BaseNot availableSarvam 105BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro BaseNot availableSarvam 105BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro Base1MSarvam 105B128KDeepSeek V4 Pro Base lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
τ²-bench resultsSource 46.8%Not comparable
Coding
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
BigCodeBenchSource 59.2%Not comparable
HumanEvalSource 76.8%Not comparable
AA-SciCodeSource 26.4%Not comparable
Reasoning
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
BBHSource 87.5%Not comparable
DROPSource 88.7%Not comparable
HellaSwagSource 88.0%Not comparable
WinoGrandeSource 81.5%Not comparable
CLUEWSCSource 85.2%Not comparable
LongBench v2Source 51.5%Not comparable
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
AGIEvalSource 83.1%Not comparable
MMLUSource 90.1%Not comparable
MMLU-ReduxSource 90.8%Not comparable
MMLU-ProSource 73.5%Not comparable
MMMLUSource 90.3%Not comparable
C-EvalSource 93.1%Not comparable
CMMLUSource 90.8%Not comparable
MultiLoKoSource 51.1%Not comparable
SimpleQASource 55.2%Not comparable
SuperGPQASource 53.9%Not comparable
FACTS ParametricSource 62.6%Not comparable
TriviaQASource 85.6%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
Math
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
GSM8KSource 92.6%Not comparable
MATHSource 64.5%Not comparable
CMathSource 90.9%Not comparable
Multilingual
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
MGSMSource 84.4%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro BaseSarvam 105BResult
AA-IFBenchSource 34.4%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro Base 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 DeepSeek V4 Pro Base and Sarvam 105B today?

DeepSeek V4 Pro Base: Pricing unavailable 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 23, 2026

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