Claude Sonnet 4.6 Coding vs Gemma 4 31B
Practical read: Gemma 4 31B reads more context. One API key runs both.
One key routes both. Starter credit covers your first Gemma 4 31B requests, while Claude Sonnet 4.6 Coding runs on your own provider key. Switch by changing the model name.
Side by side:
| Attribute | Claude Sonnet 4.6 Coding | Gemma 4 31B |
|---|---|---|
| Price, 1M in + out | $18.99 Your provider key | $0.46 Weights & Biases, cheapest route |
| Best for | Long documents | |
| Cached input | Not published | $0.060927/1M to $0.26375/1M |
| Context window | 200K 200,000 tokens | 262K 262,144 tokens |
| First token, p50 | Measuring | 0.78 s via Tinfoil |
| Throughput | Measuring | 250 tok/s via FriendliAI |
| AI IQ | Unrated | IQ 101 #120 on AI IQ |
| Provider routes | 0 | 14 with failover |
| Privacy | Varies by provider | Confidential E2EE and zero retention route |
| Recent route uptime range | not enough data | 100.00% |
| Publisher | Anthropic | Google AI Studio |
| Modes | chat messages | chat |
| More detail |
Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.
Test both with your agent
Paste this into Claude Code, Cursor or any coding agent.
Compare Claude Sonnet 4.6 Coding and Gemma 4 31B in this project through TrustedRouter.
1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
https://api.trustedrouter.com/v1 and read the key from
TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on anthropic/claude-sonnet-4.6-coding, then on google/gemma-4-31b-it.
4. Show me cost, latency and quality side by side before changing the default.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("anthropic/claude-sonnet-4.6-coding", "google/gemma-4-31b-it"):
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(model, response.choices[0].message.content)
for model in anthropic/claude-sonnet-4.6-coding google/gemma-4-31b-it; do
curl https://api.trustedrouter.com/v1/chat/completions \
-H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done
Questions
Which should I use, Claude Sonnet 4.6 Coding or Google: Gemma 4 31B?
Google: Gemma 4 31B has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.
Is Claude Sonnet 4.6 Coding or Google: Gemma 4 31B cheaper?
The current cheapest TrustedRouter route is $18.99/1M for Claude Sonnet 4.6 Coding and $0.4642/1M for Google: Gemma 4 31B. The comparison uses current catalog prices and updates as provider pricing changes.
Is Claude Sonnet 4.6 Coding or Google: Gemma 4 31B faster?
Current measured p50 time to first token is not enough data for Claude Sonnet 4.6 Coding and 781 ms for Google: Gemma 4 31B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test Claude Sonnet 4.6 Coding and Google: Gemma 4 31B with the same API?
Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between anthropic/claude-sonnet-4.6-coding and google/gemma-4-31b-it. This makes side-by-side evals possible without maintaining two provider integrations.
More comparisons
All comparisonsTry Claude Sonnet 4.6 Coding and Gemma 4 31B with one key.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
One key routes both. Starter credit covers your first Gemma 4 31B requests, while Claude Sonnet 4.6 Coding runs on your own provider key. Switch by changing the model name.