Cohere Rerank 3.5 vs MythoMax 13B
Compare Cohere Rerank 3.5 and MythoMax 13B: 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 | Cohere Rerank 3.5 | MythoMax 13B |
|---|---|---|
| Category | Reranking | Open Source |
| Parameters | ~600M | 13B |
| Context Window | 4K | 4K |
| Input Price | $0.002/search/1M tokens | $0.01/1M tokens |
| Output Price | N/A/1M tokens | $0.02/1M tokens |
| Latency | ~25ms | ~100ms |
Choose Cohere Rerank 3.5 when:
- ✓ Search reranking
- ✓ RAG improvement
- ✓ Result quality
Higher quality, Multilingual, Fast
Choose MythoMax 13B when:
- ✓ Story generation
- ✓ Creative content
- ✓ Interactive fiction
Creative writing, Roleplay, Narrative quality
Verdict: Cohere Rerank 3.5 vs MythoMax 13B
For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, MythoMax 13B is faster at ~100ms. Cohere Rerank 3.5 excels at Search reranking while MythoMax 13B is better for Story 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
Cohere Rerank 3.5 costs $0.002/search/1M input tokens and N/A/1M output tokens. MythoMax 13B costs $0.01 input and $0.02 output. Cohere Rerank 3.5 is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Cohere Rerank 3.5 has a 4K context window with ~25ms latency. MythoMax 13B offers 4K context at ~100ms. Both have identical context windows.
Best For
Cohere Rerank 3.5 (Reranking) is optimized for: Search reranking, RAG improvement, Result quality. MythoMax 13B (Open Source) works best for: Story generation, Creative content, Interactive fiction.
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 Cohere Rerank 3.5
response_a = client.chat.completions.create(
model="rerank-v3-5",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use MythoMax 13B
response_b = client.chat.completions.create(
model="mythomax-13b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Cohere Rerank 3.5 or MythoMax 13B?
Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. MythoMax 13B (Open Source, 13B) offers Creative writing. Choose Cohere Rerank 3.5 for Search reranking or MythoMax 13B for Story generation.
How much does Cohere Rerank 3.5 cost vs MythoMax 13B?
Cohere Rerank 3.5: $0.002/search/1M input, N/A/1M output. MythoMax 13B: $0.01/1M input, $0.02/1M 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 Cohere Rerank 3.5 and MythoMax 13B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.