Reka Flash vs Claude Sonnet 4.6: 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.
Choose Claude Sonnet 4.6 for long documents (1.0M tokens context). Choose Reka Flash for shorter prompts where the smaller window keeps latency and cost down.
Side-by-side specs
| Spec | Reka Flash | Claude Sonnet 4.6 |
|---|---|---|
| Provider | xAI | Anthropic |
| Category | Multimodal | Multimodal |
| Input cost / 1M tokens | n/a | $3.60 |
| Output cost / 1M tokens | n/a | $18.00 |
| Context window | 128K tokens | 1.0M tokens |
| Max output tokens | 4,096 | 128,000 |
| Avg. latency | — | — |
| Featured | — | Yes |
| New | — | Yes |
| Capabilities | text image video | text image |
Pricing example
A typical chat workload of 100,000 input tokens plus 50,000 output tokens.
100K in × n/a + 50K out × n/a
100K in × $3.60 + 50K out × $18.00
Switch in one line
Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/v1",
});
// Before — using Reka Flash
let r = await client.chat.completions.create({
model: "reka-flash",
messages: [{ role: "user", content: "Hello" }],
});
// After — switched to Claude Sonnet 4.6
r = await client.chat.completions.create({
model: "claude-sonnet-4-6",
messages: [{ role: "user", content: "Hello" }],
});from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/v1",
)
# Before — using Reka Flash
r = client.chat.completions.create(
model="reka-flash",
messages=[{"role": "user", "content": "Hello"}],
)
# After — switched to Claude Sonnet 4.6
r = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)# Before — using Reka Flash
curl https://railwail.com/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "reka-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'
# After — switched to Claude Sonnet 4.6
curl https://railwail.com/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-sonnet-4-6",
"messages": [{"role": "user", "content": "Hello"}]
}'Which one wins for...
Quick verdicts derived from public specs. Always validate on your own workload.
Higher coding category match or larger context wins.
Bigger context window helps maintain long-form coherence.
The larger context window is the deciding factor.
Multimodal/vision support is required for image inputs.
Lower average latency wins for interactive UX.
The model with the lower input-token price wins.
Frequently asked questions
Try Reka Flash and Claude Sonnet 4.6 side by side
One API key, one endpoint, both models. Start free — no credit card required.