| Signal | Gemma 4 26B A4B | Delta | MiniMax M2 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 72 | +11 | |
Pricing | 100 | +1 | |
Context window size | 86 | +2 | |
Recency | 100 | -- | |
Output Capacity | 90 | +2 | |
| Overall Result | 5 wins | of 6 | 0 wins |
Score History
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MiniMax
Gemma 4 26B A4B saves you $42.50/month
That's $510.00/year compared to MiniMax M2 at your current usage level of 100K calls/month.
| Metric | Gemma 4 26B A4B | MiniMax M2 | Winner |
|---|---|---|---|
| Overall Score | 73 | 62 | Gemma 4 26B A4B |
| Rank | #45 | #90 | Gemma 4 26B A4B |
| Quality Rank | #45 | #90 | Gemma 4 26B A4B |
| Adoption Rank | #45 | #90 | Gemma 4 26B A4B |
| Parameters | 26B | -- | -- |
| Context Window | 262K | 197K | Gemma 4 26B A4B |
| Pricing | $0.13/$0.40/M | $0.26/$1.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemma 4 26B A4B |
| Benchmarks | 72 | 61 | Gemma 4 26B A4B |
| Pricing | 100 | 99 | Gemma 4 26B A4B |
| Context window size | 86 | 84 | Gemma 4 26B A4B |
| Recency | 100 | 100 | Gemma 4 26B A4B |
| Output Capacity | 90 | 88 | Gemma 4 26B A4B |
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 73/100 (rank #45), placing it in the top 85% of all 290 models tracked.
Scores 62/100 (rank #90), placing it in the top 69% of all 290 models tracked.
Gemma 4 26B A4B has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 4 26B A4B offers 58% better value per quality point. At 1M tokens/day, you'd spend $7.95/month with Gemma 4 26B A4B vs $18.82/month with MiniMax M2 - a $10.88 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. Gemma 4 26B A4B 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) 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
Gemma 4 26B A4B clearly outperforms MiniMax M2 with a significant 11.000000000000007-point lead. For most general use cases, Gemma 4 26B A4B is the stronger choice. However, MiniMax M2 may still excel in niche scenarios.
Best for Quality
Gemma 4 26B A4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 26B A4B
58% lower pricing; better value at scale
Best for Reliability
Gemma 4 26B A4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 26B A4B
Stronger community support and better developer experience
Best for Production
Gemma 4 26B A4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 26B A4B | MiniMax M2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
MiniMax
Gemma 4 26B A4B saves you $0.9450/month
That's 57% cheaper than MiniMax M2 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 | Gemma 4 26B A4B | MiniMax M2 |
|---|---|---|
| Context Window | 262K | 197K |
| Max Output Tokens | 262,144 | 196,608 |
| Open Source | Yes | Yes |
| Created | Apr 3, 2026 | Oct 23, 2025 |
Gemma 4 26B A4B scores 73/100 (rank #45) compared to MiniMax M2's 62/100 (rank #90), giving it a 11-point advantage. Gemma 4 26B A4B is the stronger overall choice, though MiniMax M2 may excel in specific areas like certain benchmarks.
Gemma 4 26B A4B is ranked #45 and MiniMax M2 is ranked #90 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.
Gemma 4 26B A4B is cheaper at $0.40/M output tokens vs MiniMax M2's $1.00/M output tokens - 2.5x more expensive. Input token pricing: Gemma 4 26B A4B at $0.13/M vs MiniMax M2 at $0.26/M.
Gemma 4 26B A4B has a larger context window of 262,144 tokens compared to MiniMax M2's 196,608 tokens. A larger context window means the model can process longer documents and conversations.