| Signal | gpt-oss-20b (free) | Delta | MiniMax M2-her |
|---|---|---|---|
Capabilities | 50 | +33 | |
Benchmarks | 56 | -5 | |
Pricing | 100 | +1 | |
Context window size | 81 | +5 | |
Recency | 88 | -12 | |
Output Capacity | 85 | +30 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
56.7
current score
MiniMax M2-her
right now
57.3
current score
OpenAI
MiniMax
gpt-oss-20b (free) saves you $90.00/month
That's $1080.00/year compared to MiniMax M2-her at your current usage level of 100K calls/month.
| Metric | gpt-oss-20b (free) | MiniMax M2-her | Winner |
|---|---|---|---|
| Overall Score | 57 | 57 | MiniMax M2-her |
| Rank | #141 | #140 | MiniMax M2-her |
| Quality Rank | #141 | #140 | MiniMax M2-her |
| Adoption Rank | #141 | #140 | MiniMax M2-her |
| Parameters | 20B | -- | -- |
| Context Window | 131K | 66K | gpt-oss-20b (free) |
| Pricing | Free | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 17 | gpt-oss-20b (free) |
| Benchmarks | 56 | 61 | MiniMax M2-her |
| Pricing | 100 | 99 | gpt-oss-20b (free) |
| Context window size | 81 | 76 | gpt-oss-20b (free) |
| Recency | 88 | 100 | MiniMax M2-her |
| Output Capacity | 85 | 55 | gpt-oss-20b (free) |
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%). Learn more about our methodology.
Scores 57/100 (rank #141), placing it in the top 52% of all 290 models tracked.
Scores 57/100 (rank #140), placing it in the top 52% of all 290 models tracked.
With only a 1-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.
Compare the cost per quality point to find the best value for your specific workload.
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. gpt-oss-20b (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (57/100) correlates with better nuance, coherence, and style in long-form content
gpt-oss-20b (free) and MiniMax M2-her are extremely close in overall performance (only 0.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
gpt-oss-20b (free)
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-20b (free)
100% lower pricing; better value at scale
Best for Reliability
gpt-oss-20b (free)
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-20b (free)
Stronger community support and better developer experience
Best for Production
gpt-oss-20b (free)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-20b (free) | MiniMax M2-her |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
MiniMax
gpt-oss-20b (free) saves you $1.98/month
That's 100% cheaper than MiniMax M2-her 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 | gpt-oss-20b (free) | MiniMax M2-her |
|---|---|---|
| Context Window | 131K | 66K |
| Max Output Tokens | 131,072 | 2,048 |
| Open Source | Yes | No |
| Created | Aug 5, 2025 | Jan 23, 2026 |
MiniMax M2-her scores 57/100 (rank #140) compared to gpt-oss-20b (free)'s 57/100 (rank #141), giving it a 1-point advantage. MiniMax M2-her is the stronger overall choice, though gpt-oss-20b (free) may excel in specific areas like cost efficiency.
gpt-oss-20b (free) is ranked #141 and MiniMax M2-her is ranked #140 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.
gpt-oss-20b (free) is cheaper at $0.00/M output tokens vs MiniMax M2-her's $1.20/M output tokens - 1200.0x more expensive. Input token pricing: gpt-oss-20b (free) at $0.00/M vs MiniMax M2-her at $0.30/M.
gpt-oss-20b (free) has a larger context window of 131,072 tokens compared to MiniMax M2-her's 65,536 tokens. A larger context window means the model can process longer documents and conversations.