DeepSeek R1 Distill 70B vs IBM Granite 3.1 2B

Compare DeepSeek R1 Distill 70B and IBM Granite 3.1 2B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature DeepSeek R1 Distill 70B IBM Granite 3.1 2B
CategoryReasoningCompact
Parameters70B2B
Context Window128K128K
Input Price$0.04/1M tokens$0.004/1M tokens
Output Price$0.08/1M tokens$0.008/1M tokens
Latency~400ms~30ms

Choose DeepSeek R1 Distill 70B when:

  • ✓ Production reasoning
  • ✓ Batch processing
  • ✓ Cost-sensitive
Key Strengths:

Reasoning distilled, Faster than full R1, Cost-efficient

Choose IBM Granite 3.1 2B when:

  • ✓ Edge enterprise
  • ✓ Compliance-required
  • ✓ Fast classification
Key Strengths:

Enterprise-grade, Tiny, 128K context

Verdict: DeepSeek R1 Distill 70B vs IBM Granite 3.1 2B

For cost efficiency, IBM Granite 3.1 2B wins at $0.004/1M input tokens. For speed, IBM Granite 3.1 2B is faster at ~30ms. DeepSeek R1 Distill 70B excels at Production reasoning while IBM Granite 3.1 2B is better for Edge enterprise. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

DeepSeek R1 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. IBM Granite 3.1 2B costs $0.004 input and $0.008 output. IBM Granite 3.1 2B is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 Distill 70B has a 128K context window with ~400ms latency. IBM Granite 3.1 2B offers 128K context at ~30ms. Both have identical context windows.

Best For

DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. IBM Granite 3.1 2B (Compact) works best for: Edge enterprise, Compliance-required, Fast classification.

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 DeepSeek R1 Distill 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use IBM Granite 3.1 2B
response_b = client.chat.completions.create(
    model="granite-3-1-2b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 Distill 70B or IBM Granite 3.1 2B?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. IBM Granite 3.1 2B (Compact, 2B) offers Enterprise-grade. Choose DeepSeek R1 Distill 70B for Production reasoning or IBM Granite 3.1 2B for Edge enterprise.

How much does DeepSeek R1 Distill 70B cost vs IBM Granite 3.1 2B?

DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M output. IBM Granite 3.1 2B: $0.004/1M input, $0.008/1M 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 DeepSeek R1 Distill 70B and IBM Granite 3.1 2B 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.