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Model comparison

Qwen3 Max vs Sarvam 30B

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Alibaba
48.16/100
Margin
7.5pts
← winning
40.7/100
0 category wins0 category wins

Public leaderboard positions: Qwen3 Max #128 (Estimated); Sarvam 30B #169 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3 Max and Sarvam 30B share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Qwen3 Max; 0 to Sarvam 30B.

Updated July 23, 2026
Shared results
11
Qwen3 Max only
3
Sarvam 30B only
0
Comparable categories
0 / 8

Benchmark data for Qwen3 Max 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.

Qwen3 Max has the larger context window at 1M, 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.

Operational comparison

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

MetricQwen3 MaxSarvam 30BComparison
Input / output priceUSD per 1M tokensQwen3 MaxNot availableSarvam 30B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondQwen3 MaxNot availableSarvam 30BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3 MaxNot availableSarvam 30BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3 Max1MSarvam 30B64KQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3 MaxSarvam 30BResult
τ²-bench resultsSource 74.3%34.5%Qwen3 Max leads
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkQwen3 MaxSarvam 30BResult
Vibe Code BenchSource 3.51%Not comparable
AA-SciCodeSource 38.3%19.2%Qwen3 Max leads
Reasoning
BenchmarkQwen3 MaxSarvam 30BResult
AA-LCRSource 46.7%0.0%Qwen3 Max leads
CritPtSource 0.0%0.3%Sarvam 30B leads
Knowledge
BenchmarkQwen3 MaxSarvam 30BResult
Artificial Analysis Intelligence IndexSource 24.0%6.6%Qwen3 Max leads
AA-GPQA DiamondSource 76.4%63.3%Qwen3 Max leads
AA-HLESource 11.1%7.0%Qwen3 Max leads
AA-Omniscience IndexSource -43.1%-72.0%Qwen3 Max leads
AA-Omniscience AccuracySource 24.4%12.7%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 89.4%97.0%Qwen3 Max leads
Multimodal
BenchmarkQwen3 MaxSarvam 30BResult
Design Arena WebsiteSource 1148Not comparable
Inst. Following
BenchmarkQwen3 MaxSarvam 30BResult
AA-IFBenchSource 44.1%26.5%Qwen3 Max leads
Frequently Asked Questions (3)

Can I compare Qwen3 Max 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 Qwen3 Max 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

Last updated: July 23, 2026

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