Gemini 2.5 Flash vs Nemotron 4 340B
Compare Gemini 2.5 Flash and Nemotron 4 340B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Gemini 2.5 Flash | Nemotron 4 340B |
|---|---|---|
| Category | Fast | Open Source |
| Parameters | ~200B | 340B |
| Context Window | 1M | 128K |
| Input Price | $0.015/1M tokens | $0.07/1M tokens |
| Output Price | $0.06/1M tokens | $0.12/1M tokens |
| Latency | ~200ms | ~500ms |
Choose Gemini 2.5 Flash when:
- ✓ Real-time chatbots
- ✓ Fast content generation
- ✓ Streaming
1M context, Very fast, Cost-efficient
Choose Nemotron 4 340B when:
- ✓ Data generation
- ✓ Training data
- ✓ Research
Synthetic data generation, Large scale, Good quality
Verdict: Gemini 2.5 Flash vs Nemotron 4 340B
For cost efficiency, Gemini 2.5 Flash wins at $0.015/1M input tokens. For speed, Gemini 2.5 Flash is faster at ~200ms. Gemini 2.5 Flash excels at Real-time chatbots while Nemotron 4 340B is better for Data generation. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Gemini 2.5 Flash costs $0.015/1M input tokens and $0.06/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. Gemini 2.5 Flash is 4.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemini 2.5 Flash has a 1M context window with ~200ms latency. Nemotron 4 340B offers 128K context at ~500ms. Gemini 2.5 Flash has the larger context window.
Best For
Gemini 2.5 Flash (Fast) is optimized for: Real-time chatbots, Fast content generation, Streaming. Nemotron 4 340B (Open Source) works best for: Data generation, Training data, Research.
Try Both on XALEN
Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:
from xalen import XALEN
client = XALEN(api_key="xln_test_YOUR_KEY")
# Use Gemini 2.5 Flash
response_a = client.chat.completions.create(
model="gemini-2-5-flash",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Nemotron 4 340B
response_b = client.chat.completions.create(
model="nemotron-4-340b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Gemini 2.5 Flash or Nemotron 4 340B?
Gemini 2.5 Flash (Fast, ~200B) offers 1M context. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose Gemini 2.5 Flash for Real-time chatbots or Nemotron 4 340B for Data generation.
How much does Gemini 2.5 Flash cost vs Nemotron 4 340B?
Gemini 2.5 Flash: $0.015/1M input, $0.06/1M output. Nemotron 4 340B: $0.07/1M input, $0.12/1M output. Both available on XALEN with batch processing at 50% discount.
Can I use both models on XALEN?
Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Gemini 2.5 Flash and Nemotron 4 340B by changing the model parameter. No code changes needed.
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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.