Instruction following
Like-for-like- Mercury 2.5
- 80.1
- #53/121
- Nemotron 3 Nano Omni 30B A3B
- 75.9
- #58/121
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Mercury 2.5 leads
Mercury 2.5 vs Nemotron 3 Nano Omni 30B A3B
Updated September 8, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
NVIDIA
41.13/100
Estimated · Public rank #173
90% interval 29.6–52.6
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
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.
Long documents
Prompts that approach the documented context limit
Mercury 2.5
Mercury 2.5 has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Mercury 2.5 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Mercury 2.5 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 Mercury 2.5 only
3 Shared
13 Nemotron 3 Nano Omni 30B A3B only
- Shared results
- 3
- Mercury 2.5 only
- 2
- Nemotron 3 Nano Omni 30B A3B only
- 13
- Like-for-like categories
- 1 / 8
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, 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.
Agentic
Directional only- Mercury 2.5
- 44.5
- Estimated · #91/152
- Nemotron 3 Nano Omni 30B A3B
- 44.9
- Estimated · #90/152
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Directional only
Coding
Directional only- Mercury 2.5
- 47.8
- Estimated · #73/151
- Nemotron 3 Nano Omni 30B A3B
- 40.8
- Estimated · #115/151
- Basis
- BenchAlign lane · 1 vs 2 public rows
- Reading
- Directional only
Knowledge
Directional only- Mercury 2.5
- 48.3
- Estimated · #94/182
- Nemotron 3 Nano Omni 30B A3B
- 39.0
- Supported · #143/182
- Basis
- BenchAlign lane · 1 vs 3 public rows
- Reading
- Directional only
Reasoning
Not comparable- Mercury 2.5
- 67.7
- Unranked · 1 rankable row
- Nemotron 3 Nano Omni 30B A3B
- 48.3
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Mercury 2.5
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Mercury 2.5
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Mercury 2.5
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 39.3
- #42/48
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | Mercury 2.5 | Nemotron 3 Nano Omni 30B A3B | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 80.1#53/121 | 75.9#58/121 | Like-for-likeProvisional lane · 1 vs 1 weighted rows | Mercury 2.5 leads |
| Agentic | 44.5Estimated · #91/152 | 44.9Estimated · #90/152 | Directional onlyBenchAlign lane · 2 vs 2 public rows | Directional only |
| Coding | 47.8Estimated · #73/151 | 40.8Estimated · #115/151 | Directional onlyBenchAlign lane · 1 vs 2 public rows | Directional only |
| Knowledge | 48.3Estimated · #94/182 | 39.0Supported · #143/182 | Directional onlyBenchAlign lane · 1 vs 3 public rows | Directional only |
| Reasoning | 67.7Unranked · 1 rankable row | 48.3Unranked · 2 rankable rows | 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 |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 39.3#42/48 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
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.
SciCode
Coding
Mercury 2.5: 38%Nemotron 3 Nano Omni 30B A3B: 32%Normalized gap 6.0Mercury 2.5 source Nemotron 3 Nano Omni 30B A3B sourceIFBench
Instruction following
Mercury 2.5: 77%Nemotron 3 Nano Omni 30B A3B: 74.2%Normalized gap 2.8Mercury 2.5 source Nemotron 3 Nano Omni 30B A3B source
What each workload costs
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.
Chat turn
1K fresh input + 500 output tokens
- Mercury 2.5
- $0.00012
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Mercury 2.5
- $0.00245
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Mercury 2.5
- $0.0031
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMercury 2.5Nemotron 3 Nano Omni 30B A3B
Context window
Maximum documented context; output-token limits may be lower.
Mercury 2.5
Nemotron 3 Nano Omni 30B A3B
256K
API model ID
Mercury 2.5
Nemotron 3 Nano Omni 30B A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Mercury 2.5
$0.004 per 1M cached input tokens
Inception models and Mercury 2.5 launch pricingNemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Documented inputs
Mercury 2.5
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Documented outputs
Mercury 2.5
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Provider availability
Mercury 2.5
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Reasoning profile
Mercury 2.5
Reasoning
Nemotron 3 Nano Omni 30B A3B
Reasoning
Weight access
Mercury 2.5
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
License
Mercury 2.5
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
Release date
Mercury 2.5
2026-09-08
Nemotron 3 Nano Omni 30B A3B
2026-04-28
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Mercury 2.5 has the larger documented window (260K).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence18 rows
Agentic
τ³-bench results
Mercury 2.596.0%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
DeepSearchQA
Mercury 2.534.0%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
OSWorld
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B47.4%SourceNot directly comparable
τ²-bench results
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B45.3%SourceNot directly comparable
Coding
Knowledge
Math
AIME 2025
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B82.1%SourceNot directly comparable
Multimodal
MMMU
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B70.8%SourceNot directly comparable
MMLongBench-Doc
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B57.5%SourceNot directly comparable
CharXiv
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B76.3%SourceNot directly comparable
ScreenSpot Pro
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B57.8%SourceNot directly comparable
Video-MME (w/o subtitle)
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B72.2%SourceNot directly comparable
AI2D_TEST
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B88.5%SourceNot directly comparable
RefCOCO (avg)
Mercury 2.5—Nemotron 3 Nano Omni 30B A3B90.5%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, Mercury 2.5 or Nemotron 3 Nano Omni 30B A3B?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Mercury 2.5 or Nemotron 3 Nano Omni 30B A3B?
Mercury 2.5 scores higher for coding on the public lane, 47.8 to 40.8. Mercury 2.5 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Mercury 2.5 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B scores higher for agentic tasks on the public lane, 44.9 to 44.5. Mercury 2.5 and Nemotron 3 Nano Omni 30B A3B are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Mercury 2.5 or Nemotron 3 Nano Omni 30B A3B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Mercury 2.5 or Nemotron 3 Nano Omni 30B A3B?
Mercury 2.5 has the larger documented context window: 260K, compared with 256K.
Related comparisons
Last updated September 8, 2026
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