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GPT-6.1 Terra vs MiMo-V2.5

GPT-6.1 Terra leads the LLM Stats Score 47.6 to 35.8. MiMo-V2.5 is 9.5x cheaper per token.

OpenAI · Xiaomi · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.6 to 35.8, ranking #37 overall.

On price, MiMo-V2.5 is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6.1 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6.1 Terra

  • overall performance matters — it scores 47.6 and ranks #37 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose MiMo-V2.5

  • cost matters — it's about 9.5x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
47.6
#37
35.8
#106
49.1
#18
35.6
#105
37.3
#30
28.1
#79
38.7
#11
20.6
#87
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
$0.17 / M
Output price
$5.00 / M
$0.34 / M
Context window
1,050,000
1,048,576

Individual benchmarks

9 reported for GPT-6.1 Terra · 14 for MiMo-V2.5

No common benchmarks found

GPT-6.1 Terra and MiMo-V2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5 costs less

For input processing, GPT-6.1 Terra ($1.00/1M tokens) is 6.0x more expensive than MiMo-V2.5 ($0.17/1M tokens).

For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 14.9x more expensive than MiMo-V2.5 ($0.34/1M tokens).

In conclusion, GPT-6.1 Terra is more expensive than MiMo-V2.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
OpenAI
GPT-6.1 Terra
Input tokens$1.00
Output tokens$5.00
Best providerOpenAI
Xiaomi
MiMo-V2.5
Input tokens$0.17
Output tokens$0.34
Best providerNovita
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6.1 Terra accepts 1,050,000 input tokens compared to MiMo-V2.5's 1,048,576 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.

OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Terra and MiMo-V2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6.1 Terra

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra is licensed under a proprietary license, while MiMo-V2.5 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6.1 Terra

Proprietary

Closed source

MiMo-V2.5

MIT

Open weights

Release Timeline

When each model was launched

GPT-6.1 Terra was released on 2026-10-26, while MiMo-V2.5 was released on 2026-04-22.

GPT-6.1 Terra is 6 months newer than MiMo-V2.5.

GPT-6.1 Terra

Oct 26, 2026

1 weeks ago

6mo newer
MiMo-V2.5

Apr 22, 2026

6 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while MiMo-V2.5's cutoff date is not specified.

We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without MiMo-V2.5's cutoff date.

GPT-6.1 Terra

Jun 2026

MiMo-V2.5

—

Provider Availability

GPT-6.1 Terra is available from OpenAI. MiMo-V2.5 is available from Novita, DeepInfra.

GPT-6.1 Terra

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

MiMo-V2.5

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and MiMo-V2.5 side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
MiMo-V2.5
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs MiMo-V2.5.

Which is better, GPT-6.1 Terra or MiMo-V2.5?

GPT-6.1 Terra leads the LLM Stats Score 47.6 to 35.8. GPT-6.1 Terra is made by OpenAI and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Terra compare to MiMo-V2.5 in benchmarks?

GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

Is GPT-6.1 Terra cheaper than MiMo-V2.5?

MiMo-V2.5 is 6.0x cheaper for input tokens. GPT-6.1 Terra costs $1.00/M input and $5.00/M output via openai. MiMo-V2.5 costs $0.17/M input and $0.34/M output via novita.

What are the context window sizes for GPT-6.1 Terra and MiMo-V2.5?

GPT-6.1 Terra supports 1.1M tokens and MiMo-V2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6.1 Terra and MiMo-V2.5?

Key differences include LLM Stats Score (47.6 vs 35.8), context window (1.1M vs 1.0M), input pricing ($1.00 vs $0.17/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Terra and MiMo-V2.5?

GPT-6.1 Terra is developed by OpenAI and MiMo-V2.5 is developed by Xiaomi.