MiMo-V2.6-Flash API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of MiMo-V2.6-Flash for your use-case.
Lowest Time per Task
Makora
DeepInfra
GMI (BF16)
XiaomiTime per Intelligence Index task (minutes)
Total 4 providers
Lowest Cost per Task
GMI (BF16)DeepInfraXiaomiMakoraCost per Intelligence Index task
Total 4 providers
MiMo-V2.6-Flash is available through 4 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.
- For time per task, Makora (16.7 min), DeepInfra (44.2 min), and GMI (BF16) (49.2 min) finish an Intelligence Index task fastest.
- For cost per task, GMI (BF16) ($0.11), DeepInfra ($0.13), and Xiaomi ($0.13) are the cheapest per Intelligence Index task. Cost varies up to 3.9x across providers.
Pricing
Cost per Intelligence Index Task: MiMo-V2.6-Flash
Pricing: Cache Hit, Input, and Output: MiMo-V2.6-Flash
Output Speed vs. Cost per Task: MiMo-V2.6-Flash
Speed
Average of the single-request and multi-turn agentic workloads measured
Time per Intelligence Index Task: MiMo-V2.6-Flash
Latency
Average of the single-request and multi-turn agentic workloads measured
Time to First Answer Token: MiMo-V2.6-Flash
Reliability
Share of requests the endpoint failed, across all the single-request and multi-turn agentic workloads measured
Endpoint Error Rate: MiMo-V2.6-Flash
Caching
Cache Hit Rate: MiMo-V2.6-Flash
Cost per Task vs. Cache Hit Rate: MiMo-V2.6-Flash
Key Comparison Metrics & API Features
Frequently Asked Questions
Common questions about MiMo-V2.6-Flash providers
MiMo-V2.6-Flash is available through 4 API providers: Xiaomi, DeepInfra, GMI (BF16), and Makora. Each provider offers different performance characteristics and pricing.
MiMo-V2.6-Flash is currently available through 4 API providers that we benchmark and track.
By time per task, the fastest providers for MiMo-V2.6-Flash are Makora (16.7 min), DeepInfra (44.2 min), and GMI (BF16) (49.2 min). Time per task divides the model's output tokens per Intelligence Index task by each provider's end-to-end output speed.
The providers with the lowest time to first answer token for MiMo-V2.6-Flash are Makora (19.40s), DeepInfra (40.66s), and GMI (BF16) (47.27s). Lower latency means faster initial response time.
The most affordable providers for MiMo-V2.6-Flash by blended price are GMI (BF16) ($0.05 per 1M tokens), Xiaomi ($0.06 per 1M tokens), and DeepInfra ($0.06 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.
The providers with the lowest input token pricing for MiMo-V2.6-Flash are GMI (BF16) ($0.11 per 1M input tokens), Xiaomi ($0.14 per 1M input tokens), and DeepInfra ($0.14 per 1M input tokens).
The providers with the lowest output token pricing for MiMo-V2.6-Flash are GMI (BF16) ($0.22 per 1M output tokens), Xiaomi ($0.28 per 1M output tokens), and DeepInfra ($0.28 per 1M output tokens).
Prices for MiMo-V2.6-Flash vary up to 1.2x across providers. The most affordable is GMI (BF16) at $0.05 per 1M tokens, while Makora charges $0.06 per 1M tokens.
All 4 providers of MiMo-V2.6-Flash support JSON mode for structured output.
All 4 providers of MiMo-V2.6-Flash support function calling (tool use).
For MiMo-V2.6-Flash, Makora offers the best performance with the lowest time per task and lowest latency. For cost optimization, GMI (BF16) provides the most competitive pricing.
When choosing a provider for MiMo-V2.6-Flash, consider: time per task (how quickly the provider completes an Intelligence Index task), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
For information about MiMo-V2.6-Flash's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview