Model comparison
Claude Haiku 4.5 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #82 (Estimated); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and Nemotron 3 Nano Omni 30B A3B share 0 comparable benchmark results. 1 of 8 categories are comparable. 6 results are unique to Claude Haiku 4.5; 29 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 6
- Nemotron 3 Nano Omni 30B A3B only
- 29
- Comparable categories
- 1 / 8
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Haiku 4.5 is clearly ahead on the BenchAlign aggregate, 55.77 to 43.32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Haiku 4.5's sharpest advantage is in coding, where it averages 73.3 against 32.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. Nemotron 3 Nano Omni 30B A3B is the reasoning model in the pair, while Claude Haiku 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Nemotron 3 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 200K for Claude Haiku 4.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | Nemotron 3 Nano Omni 30B A3B256K | Nemotron 3 Nano Omni 30B A3B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
CodingClaude Haiku 4.5 wins5 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Haiku 4.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 14.9% | Not comparable |
| AA-GPQA DiamondSource | — | 46.9% | Not comparable |
| AA-HLESource | — | 5.3% | Not comparable |
| AA-Omniscience IndexSource | — | -56.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 14.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 83.1% | Not comparable |
Math3 benchmarks
Multimodal9 benchmarks
| Benchmark | Claude Haiku 4.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1147 | — | Not comparable |
| MMMUSource | — | 70.8% | Not comparable |
| MMLongBench-DocSource | — | 57.5% | Not comparable |
| CharXivSource | — | 76.3% | Not comparable |
| ScreenSpot ProSource | — | 57.8% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 72.2% | Not comparable |
| AI2D_TESTSource | — | 88.5% | Not comparable |
| RefCOCO (avg)Source | — | 90.5% | Not comparable |
| AA-MMMU-ProSource | — | 53.2% | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Haiku 4.5 or Nemotron 3 Nano Omni 30B A3B?
Claude Haiku 4.5 is ahead on BenchLM's BenchAlign leaderboard, 55.77 to 43.32.
Which is better for coding, Claude Haiku 4.5 or Nemotron 3 Nano Omni 30B A3B?
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 32. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
Related Comparisons
- Claude Haiku 4.5 vs Claude Haiku 4.5 Thinking
- Nemotron 3 Nano Omni 30B A3B vs Claude Mythos 5
- Nemotron 3 Nano Omni 30B A3B vs Claude Opus 5
- Nemotron 3 Nano Omni 30B A3B vs Kimi K3
- Nemotron 3 Nano Omni 30B A3B vs GPT-5.6 Sol
- Nemotron 3 Nano Omni 30B A3B vs Sakana Fugu-Ultra
- Nemotron 3 Nano Omni 30B A3B vs Claude Fable 5
- Nemotron 3 Nano Omni 30B A3B vs GPT-5.4 Pro
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
One email each week. Unsubscribe anytime.