KoalaAPI Review: Pricing & Comparison
Specializes in integrating mainstream overseas models (Gemini/ChatGPT/Claude), claims 99.7%+ success rate for Claude 4.5
Last verified: 2026-08-11 · Visit official site →
¥10 to start, refund within 24 hours if not satisfied
KoalaAPI (koalaapi.com) has built in trial-and-error protection that’s rare among domestic relays:
- Minimum top-up of ¥10: an extremely low entry cost — no need to gamble a large sum upfront
- Failed requests aren’t billed: your balance isn’t deducted when the API returns an error
- 24-hour no-questions-asked full refund: if you integrate and find it doesn’t meet your needs, you can simply request a refund
Combined, these three policies are essentially saying: “You don’t have to take our marketing numbers on faith — try it, and if it doesn’t work out, get a refund.”
For developers still in the platform-selection stage, KoalaAPI’s trial-and-error cost is close to zero.
Pricing
Pay-as-you-go, no monthly fee, no minimum spend requirement, top up from ¥10. The model marketplace brings together price and performance comparisons for 214+ models.
Defer to KoalaAPI’s official model marketplace for live per-model pricing. Overall it sits in the “free/low-price” tier — not the cheapest option, but a clear discount over paying the official price directly.
The real value of “failed requests aren’t billed”: during the phase when success rate is unstable, API calls can generate a lot of failed requests — if every failure were billed, verification costs would add up fast. This policy provides real cost protection during the initial integration and debugging phase.
Claimed stability figures
KoalaAPI’s core marketing claims:
- Claude success rate: 99.7%+ (vendor’s own claim)
- Average latency from mainland nodes: 50ms (vendor claim)
- QPS capacity: roughly 30,000 QPS
Worth noting: these figures all come from the vendor’s own claims or vendor-affiliated channels, and haven’t been independently third-party verified. The 50ms average-latency claim is more aggressive than some competitors’ — test conditions (request payload size, time of testing, network environment) have a big impact on latency results.
The “failed requests aren’t billed” policy indirectly suggests the platform doesn’t run at a 100% success rate — we’d recommend tracking the actual success rate yourself before committing to production use.
# KoalaAPI integration (top up from ¥10, 24h refund if not satisfied)
export ANTHROPIC_BASE_URL="https://api.koalaapi.com"
export ANTHROPIC_API_KEY="your key"
# Or OpenAI format
export OPENAI_BASE_URL="https://api.koalaapi.com/v1"
export OPENAI_API_KEY="your key"
Model coverage
Three major overseas vendors, 214+ models (including version snapshots):
- Claude: Fable 5, Opus 4.8, Sonnet 4.6, Haiku 4.5 (the platform emphasizes how quickly it follows up on new Claude models)
- GPT: GPT-5.5, GPT-4o, the o-series
- Gemini: Gemini 3.5 Flash/Pro
It doesn’t emphasize domestic open-source models like DeepSeek/Qwen. Claude Code users are an explicitly targeted use case.
Who it fits, who it doesn’t
Good fit:
- Individual developers who want to “try before committing” (protected by the ¥10 top-up + 24h refund)
- Claude Code / AI coding-assistant users (mainland direct connect + failed requests aren’t billed)
- Small projects with irregular call volume (no monthly fee, no minimum spend)
Poor fit:
- Use cases needing domestic models like DeepSeek/Qwen
- Enterprise teams needing detailed usage-audit features (choose PoloAPI’s multi-project audit features instead)
- Technical users who need independent verification of stability figures
For use cases needing the Grok (xAI) API, V-API is one of the few domestic platforms with direct-connect Grok access. For use cases wanting the simplest possible integration (just swap the base_url, no other code changes), MoleAPI’s <50ms low-latency setup is also worth comparing.
Information verified 2026-08-11. The 99.7% success rate and 50ms latency are vendor claims — verify with your own testing. Defer to koalaapi.com’s official site for specific pricing.
Related reviews
- V-API: multi-model direct-connect relay, full coverage of Claude/GPT/Gemini/DeepSeek/Grok, stable mainland direct connect
- Claude API: focused Claude relay, launched April 2026, supports image generation, ¥1 trial credit, competitively priced Opus access
- RunPod: per-second-billed GPU cloud, community compute pool, 70% cheaper than AWS
- TomCat API: stable domestic relay, low-latency direct connect, pay-as-you-go for mainstream models
Quick facts
| Pricing model | Pay-as-you-go, no minimum spend; get an API key with as little as ¥10 top-up, 24-hour no-questions-asked refund |
|---|---|
| Model coverage | Integrates mainstream overseas models including Gemini/ChatGPT/Claude |
| Latency / SLA | Claims 50ms average latency from mainland nodes, 99.7%+ success rate for Claude 4.5; multiple reviews cite a capacity of roughly 30,000 QPS |
| Mainland direct connect | Direct connect |
| Best for | Developers |
| Referral program | No public affiliate program found. |
Pros
- Pay-as-you-go with no minimum spend — start with as little as ¥10, and the 24-hour no-questions-asked refund lowers the cost of trying it out
- Claims 50ms average latency from mainland nodes, 99.7%+ success rate for Claude 4.5, and capacity for roughly 30,000 QPS — appealing for coding-assistant scenarios like Claude Code
- Multiple reviews classify it as a second-tier "established and stable" platform, with reasonable market recognition
Cons
- The success-rate/latency/QPS figures are all vendor-provided or come from vendor-affiliated review articles — not independently third-party verified
- No public affiliate/referral program found
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