Provider: Synthetic.new (self-hosted, no quantization) Context window: 256k tokens Task: Multi-step tool calling chain (weather → Bulgarian description → markdown file → email with attachment)
| Criteria | Score | Max |
|---|---|---|
| Correct tool call sequence | 3 | 3 |
| Tool call accuracy | 2.5 | 3 |
| Final output quality | 2 | 2 |
| Efficiency & communication | 2 | 2 |
- Time: ~1 min 25 sec
- Cost: Fixed subscription ($20–60/mo on Synthetic.new)
- User interventions: 0
The model executed all 4 steps cleanly in a single pass:
- Weather data — Retrieved via Open-Meteo API. Temperature 7.1°C, partly cloudy (weathercode 2), humidity 91%, wind 4.7 km/h → correctly converted to 1.3 m/s.
- Bulgarian description — Natural-sounding: "Препоръчвам да облечеш яке или топло палто, тъй като времето е хладно."
- Markdown file — Valid, matches the required template structure.
- Email — Sent from example1@peskov.in.ua to example2@gmail.com with attachment using native tools. Subject in Bulgarian with date. Confirmed with message ID.
- Showed "thinking" process during execution, then replaced with final output — good transparency.
- Signed the email body as "Ginarr 🤖" (the bot's name) — minor oddity.
- Converted wind speed from km/h to m/s without being asked — attention to detail.
- When asked to switch model earlier in the session, initially refused because it remembered a past incident where an unauthorized model change broke the system. Required confirmation that the user was indeed the creator.
Reported "partly cloudy" while it was actually raining with thunder in Sofia. This matches Open-Meteo's weathercode 2, suggesting the API data was stale/inaccurate rather than the model hallucinating.
Strong, reliable execution. One of only three models (along with MiniMax M2.1 and Opus 4.5) to complete the full task without any user intervention. Native tool usage for email attachment — no workarounds needed.