OpenAI compatible API · Attested · Public status

Claude Opus 4.6 Coding vs Google: Gemma 4 31B

Claude Opus 4.6 Coding vs Google: Gemma 4 31B: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

Claude Opus 4.6 Coding has the larger context window. Google: Gemma 4 31B has more Credits provider routes. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$31.65/1MClaude Opus 4.6 Coding cheapest route
$0.45365/1MGoogle: Gemma 4 31B cheapest route
not enough dataClaude Opus 4.6 Coding fastest measured p50 TTFT
974 msGoogle: Gemma 4 31B fastest measured p50 TTFT via digitalocean

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Claude Opus 4.6 CodingGoogle: Gemma 4 31B
Model idanthropic/claude-opus-4.6-codinggoogle/gemma-4-31b-it
AI IQ IQ 101#99
Context1,000,000 tokens262,144 tokens
Credits provider routes015
Cheapest route$31.65/1M$0.45365/1M
Cached inputNot published$0.03798/1M to $0.26375/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFTnot enough data974 ms via digitalocean
Highest measured throughputnot enough data297 tok/s via pearl
Recent route uptime rangenot enough data0.00% to 100.00%
Modes chat messages chat

Claude Opus 4.6 Coding routes

Google: Gemma 4 31B routes

Related comparisons

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Production choice

Pick a default model. Keep fallback enabled.

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.

OpenAI clientPython
client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="anthropic/claude-opus-4.6-coding",
    messages=messages,
)

Questions

Which should I use, Claude Opus 4.6 Coding or Google: Gemma 4 31B?

Claude Opus 4.6 Coding has the larger context window. Google: Gemma 4 31B has more Credits provider routes. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

Is Claude Opus 4.6 Coding or Google: Gemma 4 31B cheaper?

The current cheapest TrustedRouter route is $31.65/1M for Claude Opus 4.6 Coding and $0.45365/1M for Google: Gemma 4 31B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Claude Opus 4.6 Coding or Google: Gemma 4 31B faster?

Current measured p50 time to first token is not enough data for Claude Opus 4.6 Coding and 974 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 Opus 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-opus-4.6-coding and google/gemma-4-31b-it. This makes side-by-side evals possible without maintaining two provider integrations.

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