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Replit Code v1.5 3B vs Code Llama 70B Instruct: Which AI Model Should You Choose?

Pricing, context windows, latency, capabilities, and a one-line code switch — everything you need to pick the right model.

huggingface
Code
vs
Replicate
Code
Verdict

Choose Code Llama 70B Instruct for long documents (16K tokens context). Choose Replit Code v1.5 3B for shorter prompts where the smaller window keeps latency and cost down.

Side-by-side specs

SpecReplit Code v1.5 3BCode Llama 70B Instruct
ProviderhuggingfaceReplicate
CategoryCodeCode
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window4K tokens16K tokens
Max output tokens—4,096
Avg. latency——
Featured——
New——
Capabilities
text
text

Pricing example

A typical chat workload of 100,000 input tokens plus 50,000 output tokens.

Replit Code v1.5 3B
n/a

100K in × n/a + 50K out × n/a

Code Llama 70B Instruct
n/a

100K in × n/a + 50K out × n/a

Switch in one line

Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.

JavaScript / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/v1",
});

// Before — using Replit Code v1.5 3B
let r = await client.chat.completions.create({
  model: "replit/replit-code-v1_5-3b",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Code Llama 70B Instruct
r = await client.chat.completions.create({
  model: "meta/codellama-70b-instruct",
  messages: [{ role: "user", content: "Hello" }],
});
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/v1",
)

# Before — using Replit Code v1.5 3B
r = client.chat.completions.create(
    model="replit/replit-code-v1_5-3b",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Code Llama 70B Instruct
r = client.chat.completions.create(
    model="meta/codellama-70b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using Replit Code v1.5 3B
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "replit/replit-code-v1_5-3b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Code Llama 70B Instruct
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/codellama-70b-instruct",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

Quick verdicts derived from public specs. Always validate on your own workload.

Coding
Code Llama 70B Instruct

Higher coding category match or larger context wins.

Writing
Code Llama 70B Instruct

Bigger context window helps maintain long-form coherence.

Long documents
Code Llama 70B Instruct

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
Tie

Lower average latency wins for interactive UX.

Cost-sensitive
Tie

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, Replit Code v1.5 3B or Code Llama 70B Instruct?
Replit Code v1.5 3B and Code Llama 70B Instruct cannot be compared on per-token price: at least one of them has no per-token price listed (it is priced per run or not yet priced). See each model page for its current price.
Which has more context, Replit Code v1.5 3B or Code Llama 70B Instruct?
Code Llama 70B Instruct has the larger context window at 16K tokens, compared to 4K tokens for Replit Code v1.5 3B.
Is Replit Code v1.5 3B better than Code Llama 70B Instruct for coding?
For coding-heavy workloads we lean toward Code Llama 70B Instruct on this comparison — it scores higher on the relevant heuristics (category, tags, or context window). Both models are usable for code via Railwail's OpenAI-compatible endpoint, so the safest path is to A/B test on your own prompts.
Can I use both Replit Code v1.5 3B and Code Llama 70B Instruct via Railwail?
Yes. Both Replit Code v1.5 3B and Code Llama 70B Instruct are accessible through a single Railwail API key and the OpenAI-compatible /v1/chat/completions endpoint. You only change the "model" parameter to switch between them — no SDK swap, no separate billing.
How do I switch from Replit Code v1.5 3B to Code Llama 70B Instruct?
Replace the model identifier "replit/replit-code-v1_5-3b" with "meta/codellama-70b-instruct" in your request payload. Everything else — API key, base URL, request shape — stays the same. See the code example on this page for the exact one-line change.

Try Replit Code v1.5 3B and Code Llama 70B Instruct side by side

One API key, one endpoint, both models. Start free — no credit card required.

Get Started FreeView Replit Code v1.5 3BView Code Llama 70B Instruct