Gemini Flash pricing —
and what you get for less
Gemini 2.5 Flash is $0.30/$2.50 per 1M tokens. OdinClaw routes the same model through an EU-hosted, GDPR-compliant gateway — and also offers DeepSeek V3 at $0.26/$1.10 if you want the savings without the context-window trade-off.
Gemini 2.5 Flash — what you get
Hard numbers from Google's published specs as of June 2026.
Flash-class speed
Optimised for high-throughput, low-latency use cases: summarisation, extraction, chat, and classification. Time-to-first-token is Gemini 2.5 Flash's primary design target — not depth of reasoning.
1M token context
One of the largest context windows in the flash-class category. Suitable for document-level analysis, large codebase indexing, and long conversation threads without chunking.
Output-heavy cost
At $2.50/1M output, Gemini Flash is priced competitively for read-heavy tasks. For generation-heavy workloads (code, long summaries), DeepSeek V3 at $1.10/1M output is 56% cheaper with no quality trade-off on most benchmarks.
Side-by-side pricing comparison
Prices per 1M tokens. OdinClaw rows include EU hosting and GDPR-compliant processing.
| Model / provider | Input / 1M | Output / 1M |
|---|---|---|
| Gemini 2.5 Flash (Google AI Studio / direct) | $0.30 | $2.50 |
| OdinClawGemini 2.5 Flash (via OdinClaw) | $0.30 | $2.50 |
| OdinClawDeepSeek V3 (via OdinClaw) | $0.26 | $1.10 |
| GPT-4o-mini (OpenAI direct) | $0.15 | $0.60 |
| GPT-4o (OpenAI direct) | $2.50 | $10.00 |
Prices as of June 2026. See /models for the full registry with live pricing.
Migrate from Google AI Studio in one step
OdinClaw uses the OpenAI API shape. Whether you're coming from Google AI Studio (which has its own format) or already using the OpenAI SDK to call Gemini — the migration is a base URL swap and a key swap.
- OpenAI Python SDK (gemini-2.5-flash model ID)
- openai-node / TypeScript SDK
- LangChain + LlamaIndex (OpenAI provider)
- Direct HTTP / curl
# Before (OpenAI SDK pointing at Google)
from openai import OpenAI
client = OpenAI(
api_key=os.environ["GOOGLE_API_KEY"],
base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
)
# After (OdinClaw — EU-hosted, GDPR-compliant)
from openai import OpenAI
client = OpenAI(
api_key=os.environ["ODINCLAW_API_KEY"],
base_url="https://api.claw.odin-labs.ai/v1",
)
# Same request body — only model ID and credentials change
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[{"role": "user", "content": "Summarise this doc"}],
)What about my data?
OdinClaw acts as a data processor under GDPR. Your prompts are forwarded to the model provider (Google for Gemini Flash) and are not retained by OdinClaw beyond the inference call. We log billing metadata only — token counts, latency, tier, and timestamp. No prompt or completion text is stored.
We are an early product. We do not currently hold SOC 2 or ISO 27001 certification. If your procurement process requires a certified vendor today, we are honest that we are not there yet. Our security practices are documented in our privacy policy.
Common questions
What is Gemini 2.5 Flash and what makes it cheap?
Gemini 2.5 Flash is Google's fast, cost-optimised model from the Gemini 2.5 family. It targets the "high throughput, lower cost" segment: ideal for summarisation, extraction, classification, and chat interfaces where you do not need the full reasoning depth of Gemini 2.5 Pro. At $0.30/1M input and $2.50/1M output it is positioned as a flash-class model, competitive with GPT-4o-mini for inference speed while handling longer contexts.
Why use OdinClaw instead of Google AI Studio directly?
Three reasons: (1) EU-hosted control plane and GDPR data-processor role — relevant for companies under strict data-handling policies. (2) One key, 12+ models — access Gemini Flash, DeepSeek V3, Claude, Llama, and others without managing separate API keys and billing accounts per provider. (3) Hard spend cap — every OdinClaw tier has a hard cap that stops requests when you hit it. Google AI Studio and Vertex AI have spend alerts but no hard zero-cap at the API level.
Is the Gemini Flash model via OdinClaw the same model?
OdinClaw routes to the same Gemini 2.5 Flash model as Google provides directly. We do not modify or distill the model. The inference quality is identical; what changes is the routing layer (EU gateway), the billing relationship, and the unified API key experience.
When should I pick DeepSeek V3 over Gemini Flash?
DeepSeek V3 is $0.26/$1.10 vs Gemini Flash $0.30/$2.50 — for output-heavy workloads (long generations, summaries, code) DeepSeek V3 is roughly 56% cheaper on output tokens. Gemini Flash has a longer context window (1M tokens vs 64K for DeepSeek V3) which matters for document-level tasks. Use the model page to compare on your specific token mix.
Do you have SOC 2 or ISO 27001?
Not yet. OdinClaw is an early product. We run on hardened EU VMs, use TLS 1.3, and follow the principle of least privilege. If your procurement process requires a certified vendor, we are honest that we are not there yet. Certification is on the roadmap — the changelog will reflect it when it ships.
Try Gemini Flash — or something cheaper
Free tier — 100K tokens per month, no credit card, hard spend cap at €0. One API key covers Gemini Flash, DeepSeek V3, and 10+ other frontier models.