| Signal | Mistral Small 4 | Delta | MiMo-V2-Omni |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 1 | -1 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 20 | -60 | |
| Overall Result | 0 wins | of 5 | 2 wins |
6
days higher
4
days
20
days higher
Mistral AI
Xiaomi
Mistral Small 4 saves you $95.00/month
That's $1140.00/year compared to MiMo-V2-Omni at your current usage level of 100K calls/month.
| Metric | Mistral Small 4 | MiMo-V2-Omni | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #129 | #128 | MiMo-V2-Omni |
| Quality Rank | #129 | #128 | MiMo-V2-Omni |
| Adoption Rank | #129 | #128 | MiMo-V2-Omni |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.15/$0.60/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Mistral Small 4 |
| Pricing | 1 | 2 | MiMo-V2-Omni |
| Context window size | 86 | 86 | Mistral Small 4 |
| Recency | 100 | 100 | Mistral Small 4 |
| Output Capacity | 20 | 80 | MiMo-V2-Omni |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #129), placing it in the top 56% of all 290 models tracked.
Scores 40/100 (rank #128), placing it in the top 56% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Mistral Small 4 offers 69% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Mistral Small 4 vs $36.00/month with MiMo-V2-Omni - a $24.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Mistral Small 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Small 4 and MiMo-V2-Omni are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mistral Small 4
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 4
69% lower pricing; better value at scale
Best for Reliability
Mistral Small 4
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 4
Stronger community support and better developer experience
Best for Production
Mistral Small 4
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Small 4 | MiMo-V2-Omni |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Xiaomi
Mistral Small 4 saves you $2.13/month
That's 68% cheaper than MiMo-V2-Omni at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Small 4 | MiMo-V2-Omni |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | -- | 65,536 |
| Open Source | Yes | No |
| Created | Mar 16, 2026 | Mar 18, 2026 |
Both Mistral Small 4 and MiMo-V2-Omni score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Mistral Small 4 is ranked #129 and MiMo-V2-Omni is ranked #128 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Mistral Small 4 is cheaper at $0.60/M output tokens vs MiMo-V2-Omni's $2.00/M output tokens - 3.3x more expensive. Input token pricing: Mistral Small 4 at $0.15/M vs MiMo-V2-Omni at $0.40/M.
Mistral Small 4 has a larger context window of 262,144 tokens compared to MiMo-V2-Omni's 262,144 tokens. A larger context window means the model can process longer documents and conversations.