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EmbeddingGemma 2 vs GPT-6.1 Terra: which delivered after 7 days?
EmbeddingGemma 2 is stamped Delivered; GPT-6.1 Terra is still Too early to call, so this comparison isn't settled yet.
| EmbeddingGemma 2 | GPT-6.1 Terra | |
|---|---|---|
| Verdict | Delivered | Too early |
| Claims held | 3 | 3 |
| Claims mixed | 2 | 0 |
| Claims failed | 0 | 1 |
| Claims unclear | 0 | 0 |
| User reports | 16 | 2 |
| Launched | 6 Oct 2026 | 26 Oct 2026 |
| Last stamped | 30 Oct 2026 | 30 Oct 2026 |
No. 009 · Google
EmbeddingGemma 2
The open weights, shared multimodal space and smaller sizes check out in independent tests; multilingual parity is shaky outside English, and runtime support arrived late.
- Launched
- 6 Oct 2026
- Stamped
- 30 Oct 2026
- Claims
- ✓3 held · ~2 mixed · ✗0 failed · ?0 unclear
- Reports
- 16 (7 praise · 5 problem · 4 mixed)
What they claimed
“Today, we’re launching EmbeddingGemma 2, expanding beyond text to unify code, images, video, and audio in a shared embedding space.”✓ Holds
“Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference.”✓ Holds
“Using Matryoshka Representation Learning (MRL), developers can dynamically truncate output vectors from 768 dimensions down to 512, 256, or 128 dimensions.”✓ Holds
“EmbeddingGemma 2 matches the strong multilingual text performance of EmbeddingGemma while delivering a significant 9.92-point improvement on code performance (in MTEB Code, from 68.76 to 78.68), making it well-suited for local codebase indexing, semantic code search, and coding agent retrieval.”~ Mixed
“We worked closely with the following partners to ensure EmbeddingGemma 2 works immediately where you build:”~ Mixed
No. 011 · OpenAI
GPT-6.1 Terra
Day 4 of 7Cheap and the coding gain is real, but independent timing finds it about 15 to 25% faster than Sol, nowhere near 3x.
- Launched
- 26 Oct 2026
- Stamped
- 30 Oct 2026
- Claims
- ✓3 held · ~0 mixed · ✗1 failed · ?0 unclear
- Reports
- 2 (0 praise · 0 problem · 2 mixed)
What they claimed
“At max effort, Terra is over three times as token efficient as Claude Opus 5.5, and one-fourth its price per token, resulting in a ~9x lower cost per task.”✓ Holds
“Terra is also much quicker, completing tasks over three times faster than both GPT-6 Astra and GPT-6.1 Sol.”✗ Fails
“At maximum reasoning effort, GPT‑6.1 Terra solves 50.3% of tasks, more than double GPT‑5.6 Terra’s published score of 21.5%.”✓ Holds
“Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens.”✓ Holds
Both stamps come from the public user reports linked on each receipt, under the same method. Verdicts are opinion and are never paid for.
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