OpenAI compatible API · Attested · Public status

Google: Gemma 4 26B A4B vs Meta: Llama 3.3 70B Instruct

Google: Gemma 4 26B A4B vs Meta: Llama 3.3 70B 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 26B A4B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 4 26B A4B has the larger context window. Current TrustedRouter probes show Google: Gemma 4 26B A4B with the lower p50 TTFT.

$0.41145/1MGoogle: Gemma 4 26B A4B cheapest route
$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
1238 msGoogle: Gemma 4 26B A4B fastest measured p50 TTFT via nextbit
1292 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via sambanova

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 26B A4B Meta: Llama 3.3 70B Instruct
Model idgoogle/gemma-4-26b-a4b-itmeta-llama/llama-3.3-70b-instruct
AI IQ IQ 100#89
Context262,144 tokens131,072 tokens
Credits provider routes912
Cheapest route$0.41145/1M$0.564425/1M
Cached input$0.03587/1M to $0.05275/1M$0.1055/1M to $0.633/1M
Privacy posturehas ZDR routehas provider E2EE route
Fastest measured p50 TTFT1238 ms via nextbit1292 ms via sambanova
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemma 4 26B A4B routes

Meta: Llama 3.3 70B Instruct routes

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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="google/gemma-4-26b-a4b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 26B A4B or Meta: Llama 3.3 70B Instruct?

Google: Gemma 4 26B A4B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 4 26B A4B has the larger context window. Current TrustedRouter probes show Google: Gemma 4 26B A4B with the lower p50 TTFT.

Is Google: Gemma 4 26B A4B or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $0.41145/1M for Google: Gemma 4 26B A4B and $0.564425/1M for Meta: Llama 3.3 70B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 26B A4B or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is 1238 ms for Google: Gemma 4 26B A4B and 1292 ms for Meta: Llama 3.3 70B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 26B A4B and Meta: Llama 3.3 70B 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-4-26b-a4b-it and meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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