OpenAI compatible API · Attested · Public status

Google: Gemma 4 31B vs OpenAI: GPT-3.5 Turbo Instruct

Google: Gemma 4 31B vs GPT-3.5 Turbo Instruct: 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

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.

$0.45365/1MGoogle: Gemma 4 31B cheapest route

$3.6925/1MOpenAI: GPT-3.5 Turbo Instruct cheapest route

884 msGoogle: Gemma 4 31B fastest measured p50 TTFT via pearl

not enough dataOpenAI: GPT-3.5 Turbo Instruct fastest measured p50 TTFT

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.

Google: Gemma 4 31BOpenAI: GPT-3.5 Turbo Instruct

Model idgoogle/gemma-4-31b-itopenai/gpt-3.5-turbo-instruct

Publisher Google AI Studio OpenAI

AI IQ IQ 101#99 —

Context262,144 tokens4,095 tokens

Credits provider routes150

Cheapest route$0.45365/1M$3.6925/1M

Cached input$0.03798/1M to $0.26375/1MNot published

Privacy posturehas provider E2EE routeprovider posture varies

Fastest measured p50 TTFT884 ms via pearlnot enough data

Highest measured throughput308 tok/s via lightningnot enough data

Recent route uptime range0.00% to 100.00%not enough data

Modes chat chat

Google: Gemma 4 31B routes

Overview15 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

OpenAI: GPT-3.5 Turbo Instruct routes

Overview0 Credits routes

Related comparisons

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Google: Gemma 4 31B vs MoonshotAI: Kimi K339 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 4 31B38 combined provider routes
Google: Gemma 4 31B vs OpenAI: gpt-oss-120b37 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Google: Gemma 4 31B33 combined provider routes
Google: Gemma 4 31B vs MoonshotAI: Kimi K2.633 combined provider routes

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="google/gemma-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or OpenAI: GPT-3.5 Turbo Instruct?

Is Google: Gemma 4 31B or OpenAI: GPT-3.5 Turbo Instruct cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $3.6925/1M for OpenAI: GPT-3.5 Turbo Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or OpenAI: GPT-3.5 Turbo Instruct faster?

Current measured p50 time to first token is 884 ms for Google: Gemma 4 31B and not enough data for OpenAI: GPT-3.5 Turbo Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and OpenAI: GPT-3.5 Turbo Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemma-4-31b-it and openai/gpt-3.5-turbo-instruct. This makes side-by-side evals possible without maintaining two provider integrations.