Long documents
Prompts that approach the documented context limit
Nemotron 3.5 Lightning 30B A3B NVFP4
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window.
Updated November 9, 2026. Rank says Nemotron 3.5 Lightning 30B A3B NVFP4 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Nemotron 3.5 Lightning 30B A3B NVFP4 has the higher public point estimate, 25.47 versus 23.6. Their conditional score ranges overlap. These ranges do not establish rank confidence. 3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
NVIDIA
25.47/100
Estimated · Public rank #199
Conditional range 11.1–39.8
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Prompts that approach the documented context limit
Nemotron 3.5 Lightning 30B A3B NVFP4
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Sarvam 30B is not ranked on the public lane for coding, so no winner is named for coding.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Sarvam 30B is not ranked on the public lane for agentic, so no winner is named for agentic.
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Sarvam 30B does not fit this workload in one request. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Sarvam 30B has no comparable published API token rate.
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench VerifiedCoding
Normalized gap 18.8MMLU-ProKnowledge
Normalized gap 1.6BrowseCompAgentic
Normalized gap 1.3Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, reasoning, multimodal, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Nemotron 3.5 Lightning 30B A3B NVFP4 | Sarvam 30B | Basis | Reading |
|---|---|---|---|---|
| Knowledge | 29.1Estimated · #155/179 | 27.4Supported · #165/179 | Directional onlyBenchAlign v5.8 lane · 4 vs 2 public rows | Directional only |
| Instruction following | 71.4#77/157 | 28.8#148/157 | Directional onlyProvisional lane · 1 vs 0 weighted rows | Directional only |
| Agentic | 19.3Estimated · #120/132 | Not ranked | Not comparableBenchAlign v5.8 lane · 4 vs 1 public rows | Not comparable |
| Coding | 18.7Estimated · #141/158 | Not ranked | Not comparableBenchAlign v5.8 lane · 4 vs 2 public rows | Not comparable |
| Reasoning | Not ranked | 21.4Estimated · #147/157 | Not comparableBenchAlign v5.8 lane · 0 vs 1 public rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 0 vs 0 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, reasoning, multimodal, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Sarvam 30B has no comparable published API token rate.
50K fresh input + 3K output tokens
Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Sarvam 30B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Sarvam 30B does not fit this workload in one request. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Sarvam 30B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Nemotron 3.5 Lightning 30B A3B NVFP4
Sarvam 30B
64K
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Sarvam 30B
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Nemotron 3.5 Lightning 30B A3B NVFP4
No comparable hosted API rate
NVIDIA Nemotron 3.5 Lightning model cardSarvam 30B
No comparable hosted API rate
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Sarvam 30B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Sarvam 30B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Sarvam 30B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Reasoning
Sarvam 30B
Reasoning
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Sarvam 30B
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Sarvam 30B
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
2026-08-11
Sarvam 30B
2026-03-06
Nemotron 3.5 Lightning 30B A3B NVFP4 has the higher public point estimate, 25.47 versus 23.6. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
Sarvam 30B is not ranked on the public lane for coding, so no winner is named for coding.
Sarvam 30B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window: 1M, compared with 64K.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.1
Not directly comparable
PinchBench
Not directly comparable
BrowseComp
Nemotron 3.5 Lightning 30B A3B NVFP4 leads this result
τ³-bench results
Not directly comparable
SWE-bench Verified
Nemotron 3.5 Lightning 30B A3B NVFP4 leads this result
SWE Multilingual
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SciCode
Not directly comparable
HumanEval
Not directly comparable
GPQA Diamond
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
HLE w/o tools
Not directly comparable
MMLU-Pro
Nemotron 3.5 Lightning 30B A3B NVFP4 leads this result
MMLU
Not directly comparable
IFBench
Not directly comparable
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 6,100+ subscribers.
Last updated November 9, 2026