Gemini 3.8 Flash vs Muse Spark 1.3
Google and Meta shipped these on the same day, September 2, 2026, into the same mid tier, and both held the price of the model they replaced. That is where the similarity stops. Gemini 3.8 Flash is $0.75 per million input tokens and $3.75 output, cheaper on input than Muse Spark 1.3 at $1.25 and $4.25, but the Google rate has a printed expiry: it runs through December 31, 2026 and doubles to $1.50 and $7.50 on January 1, 2027. Budget past the new year and Gemini becomes the more expensive option on input. Meta has no announced expiry and also offers a Contributor tier at $0.10 and $0.20, roughly a twelfth of the Standard input rate, if you accept that Meta trains on your prompts and completions. The two are built for different jobs. Gemini 3.8 Flash takes text, image, audio, video, and PDF on one endpoint with a 1,048,576 token window, and Artificial Analysis measures GPQA Diamond at 95.3 for the high reasoning tier, which is remarkable for the price. Muse Spark 1.3 is a coding and agent model with a 1 million token window, co-trained with the Muse Code harness, and its argument is consumption rather than capability: roughly 20 percent fewer tool calls and 25 percent fewer tokens than 1.2 on the same work. Meta reports DeepSWE 1.1 at 75.4 and MRCR at 98.5 and 98.1 across long-context bands, with the caveat that its 1.3 column runs at max reasoning against 1.2 at xhigh. There is no benchmark both labs ran, so no row below is a like-for-like measurement.
Head-to-Head Specs
| Spec | Gemini 3.8 Flash | Muse Spark 1.3 |
|---|---|---|
| Provider | Meta | |
| Input Price | $0.75/1M | $1.25/1M |
| Output Price | $3.75/1M | $4.25/1M |
| Context Window | 1.0M | 1M |
| Released | 2026-09 | 2026-09 |
| Capabilities | text, vision, audio, video, tool-use, code, reasoning | text, vision, tool-use, code, reasoning |
Category Breakdown
Gemini 3.8 Flash is $0.75 per 1M against $1.25 for Muse Spark 1.3 Standard
Gemini doubles to $1.50/$7.50 on January 1, 2027 while Meta has announced no increase
The Muse Spark Contributor tier is $0.10/$0.20 if you allow training on your data, well under any Gemini Flash rate
Gemini takes text, image, audio, video, and PDF on one endpoint; Muse Spark 1.3 is text, vision, and code
Meta reports DeepSWE 1.1 at 75.4 and Terminal-Bench tied with GPT-5.6 Sol at 88.8; Google reports SWE-bench Pro at 61.6 on a different suite
Meta claims roughly 20 percent fewer tool calls and 25 percent fewer tokens than 1.2, a saving that lands on the invoice rather than the rate card
Meta reports MRCR at 98.5 from 256K to 512K and 98.1 from 512K to 1M; Google published no comparable row
Gemini's 95.3 GPQA Diamond comes from Artificial Analysis running the model; every Muse Spark figure is vendor-reported at a shifting reasoning tier
Choose Gemini 3.8 Flash when:
- ▸Multimodal pipelines that need audio, video, or PDF on one endpoint
- ▸Reasoning-heavy work where an independently measured score matters
- ▸Workloads that will be re-evaluated before the January 2027 price change
- ▸High-volume text processing at the lowest current input rate
Choose Muse Spark 1.3 when:
- ▸Long-running agentic coding where tool-call count drives the bill
- ▸Terminal-first development through the Muse Code harness
- ▸Long-context retrieval over large repositories
- ▸Teams willing to trade training rights for the $0.10/$0.20 Contributor rate
Frequently Asked Questions
Which is better, Gemini 3.8 Flash or Muse Spark 1.3?
It depends on your use case. Gemini 3.8 Flash from Google excels at multimodal pipelines that need audio, video, or pdf on one endpoint, while Muse Spark 1.3 from Meta is better for long-running agentic coding where tool-call count drives the bill. See the full comparison above for detailed benchmarks and pricing.
How much does Gemini 3.8 Flash cost compared to Muse Spark 1.3?
Gemini 3.8 Flash costs $0.75 input and $3.75 output per 1M tokens. Muse Spark 1.3 costs $1.25 input and $4.25 output per 1M tokens.
What is the context window difference between Gemini 3.8 Flash and Muse Spark 1.3?
Gemini 3.8 Flash supports 1.0M tokens, while Muse Spark 1.3 supports 1M tokens.