Mistral Small 3.1 vs StarCoder2 7B

Compare Mistral Small 3.1 and StarCoder2 7B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

All Mistral models All BigCode models What is an LLM API? Python Quickstart What is inference?
Feature Mistral Small 3.1 StarCoder2 7B
CategoryCompactCode
Parameters24B7B
Context Window128K16K
Input Price$0.02/1M tokens$0.008/1M tokens
Output Price$0.04/1M tokens$0.015/1M tokens
Latency~120ms~60ms

Choose Mistral Small 3.1 when:

  • ✓ Lightweight tasks
  • ✓ Classification
  • ✓ Simple generation
Key Strengths:

128K context, Low cost, Fast

Choose StarCoder2 7B when:

  • ✓ Code completion
  • ✓ Quick generation
  • ✓ Editor integration
Key Strengths:

Open weights, Many languages, Fast

Verdict: Mistral Small 3.1 vs StarCoder2 7B

For cost efficiency, StarCoder2 7B wins at $0.008/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while StarCoder2 7B is better for Code completion. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Mistral Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. StarCoder2 7B costs $0.008 input and $0.015 output. StarCoder2 7B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Small 3.1 has a 128K context window with ~120ms latency. StarCoder2 7B offers 16K context at ~60ms. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. StarCoder2 7B (Code) works best for: Code completion, Quick generation, Editor integration.

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 Mistral Small 3.1
response_a = client.chat.completions.create(
    model="mistral-small-3-1",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use StarCoder2 7B
response_b = client.chat.completions.create(
    model="starcoder2-7b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Mistral Small 3.1 or StarCoder2 7B?

Mistral Small 3.1 (Compact, 24B) offers 128K context. StarCoder2 7B (Code, 7B) offers Open weights. Choose Mistral Small 3.1 for Lightweight tasks or StarCoder2 7B for Code completion.

How much does Mistral Small 3.1 cost vs StarCoder2 7B?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. StarCoder2 7B: $0.008/1M input, $0.015/1M 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 Mistral Small 3.1 and StarCoder2 7B by changing the model parameter. No code changes needed.

Related Comparisons

Mistral Small 3.1 vs Vedika Code Mistral Small 3.1 vs GPT-4.1 Nano Mistral Small 3.1 vs GPT-4o Mini Mistral Small 3.1 vs Claude Haiku 3.5 Mistral Small 3.1 vs Gemma 3 12B Mistral Small 3.1 vs Gemma 3 4B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.