API Need25% off
Uptime
Total Context
204.8K
Max Output
131.072K
Input
$0.18/ 1M
Output
$0.72/ 1M
Cache Read
Route priced
Cache Write
Route priced
MMiniMax: MiniMax M2.7 API
minimax-m2.7
MiniMax M2.7 API is a text-only agent model with a 205K context and broad tool and structured-output controls. It is a smaller-context, lower-priced alternative to MiniMax M3. [1]
MiniMax M2.7 API has no current LLM2014 logic row, so this page does not infer a score from MiniMax M3 or another provider. Evaluate coding and tool execution with workload-specific tests. [1][2]
MODALITIES
Price$0.18 / $0.72 / 1MCONTEXT204.8K
Playground
Test MiniMax M2.7 API with representative production prompts before using minimax-m2.7 in a live workflow.
Providers
OpenRouter lists MiniMax M2.7 API with text input, text output, and a 204.8K context window. APINEED routing and prepaid rates are identified separately. [1]
Discount
APINEED applies a 25% discount to the listed $0.24 input and $0.96 output rates, producing $0.18 and $0.72 per million tokens. The table compares official MiniMax M2.7 API pricing with the APINEED prepaid rate.
Official
Provider baselineInput $0.24/ 1MOutput $0.96/ 1M
BaselineAPINEED25% off
Prepaid creditsInput $0.18/ 1MOutput $0.72/ 1M
Availability
APINEED continuously monitors MiniMax M2.7 API access and keeps requests on healthy capacity.
System statusLast 90 days
MiniMax M2.7 API Benchmarks
MiniMax M2.7 is absent from the current LLM2014 table. The full dataset remains visible, but no unrelated MiniMax result is highlighted. The complete LLM2014 logic 2026-07 table remains below, with MiniMax M2.7 API highlighted when a current row exists. [2]
| 1st | GPT-5.5 (xhigh) | 83.80 | 77.46 | 7.57% | 494s | 30,811 | $25.51 | $29.57 |
| 2nd | Kimi-K3 (max) | 82.91 | 74.80 | 9.78% | 1095s | 39,912 | $16.76 | $15.00 |
| 3rd | Claude Opus 4.8 (xhigh) | 82.62 | 66.70 | 19.27% | 791s | 41,833 | $28.86 | $24.64 |
| 4th | GPT-5.6 Sol (xhigh) | 81.94 | 72.99 | 10.92% | 369s | 17,433 | $14.43 | $29.57 |
| 5th | Claude Opus 5 (xhigh) | 78.38 | 71.88 | 8.29% | 426s | 26,392 | $18.21 | $24.64 |
| 6th | Qwen3.7-Max (xhigh) | 74.56 | 66.95 | 10.21% | 374s | 54,207 | $7.81 | $5.14 |
| 7th | GLM-5.2 (max) | 73.68 | 58.27 | 20.91% | 890s | 45,683 | $5.12 | $4.00 |
| 8th | Gemini 3.1 Pro (high) | 73.36 | 58.46 | 20.31% | 214s | 25,905 | $8.58 | $11.83 |
| 9th | GPT-5.6 Luna (xhigh) | 69.49 | 51.97 | 25.21% | 242s | 38,083 | $6.31 | $5.91 |
| 10th | DeepSeek V4 Pro (max) | 68.00 | 49.97 | 26.51% | 1468s | 60,558 | $1.45 | $0.86 |
| 11th | Grok 4.5 (high) | 67.59 | 56.72 | 16.08% | 451s | 43,372 | $7.18 | $5.91 |
| 12th | Muse Spark 1.1 | 66.18 | 57.23 | 13.52% | 542s | 42,416 | $4.98 | $4.19 |
| 13th | Gemini 3.5 Flash (high) | 65.92 | 60.39 | 8.39% | 188s | 36,372 | $9.03 | $8.87 |
| 14th | Doubao-Seed-2.1-pro (high) | 58.69 | 49.35 | 15.91% | 2003s | 85,059 | $10.21 | $4.29 |
| 15th | Qwen3.7-Plus (high) | 58.50 | 44.09 | 24.63% | 1237s | 57,152 | $1.83 | $1.14 |
| 16th | Gemini 3.6 Flash (high) | 56.87 | 41.74 | 26.6% | 206s | 26,329 | $5.45 | $7.39 |
| 17th | Tencent Hy3 (high) | 54.42 | 44.60 | 18.04% | 1035s | 52,037 | $0.83 | $0.57 |
| 18th | Claude Sonnet 5 (xhigh) | 51.37 | 43.14 | 16.02% | 529s | 44,118 | $12.18 | $9.86 |
| 19th | DeepSeek V4 Flash (max) | 50.62 | 36.24 | 28.41% | 611s | 49,593 | $0.40 | $0.29 |
| 20th | MiniMax-M3 | 49.18 | 40.94 | 16.75% | 985s | 56,467 | $1.90 | $1.20 |
| 21st | Claude Opus 5 | 42.08 | 31.73 | 24.6% | 154s | 10,180 | $7.02 | $24.64 |
| 22nd | Claude Opus 4.6 | 36.88 | 25.79 | 30.07% | 65s | 4,387 | $3.03 | $24.64 |
| 23rd | Doubao-Seed-2.0-lite 0428 (high) | 35.32 | 26.77 | 24.21% | 656s | 26,726 | $0.38 | $0.51 |
| 24th | Gemini 3.5 Flash (minimal) | 33.24 | 22.22 | 33.15% | 44s | 6,189 | $1.54 | $8.87 |
| 25th | Ling-3.0-flash | 32.53 | 20.62 | 36.61% | 688s | 86,204 | $0.00 | $0.00 |
| 26th | Gemini 3.5 Flash Lite (high) | 30.23 | 22.82 | 24.51% | 188s | 18,297 | $1.26 | $2.46 |
| 27th | GPT-5.5 Instant | 28.87 | 17.66 | 38.83% | 25s | 1,673 | $1.39 | $29.57 |
| 28th | Gemma 4 31B | 27.91 | 22.04 | 21.03% | 770s | 15,050 | $0.17 | $0.39 |
| 29th | MiMo-V2.5-Pro | 26.91 | 13.00 | 51.69% | 478s | 29,443 | $0.71 | $0.86 |
| 30th | Qwen3.7-Plus | 26.19 | 16.23 | 38.03% | 314s | 8,692 | $0.28 | $1.14 |
| 31st | Step-3.7-Flash | 26.18 | 13.74 | 47.52% | 258s | 44,912 | $1.46 | $1.16 |
| 32nd | Qwen3.5-27B | 24.96 | 17.98 | 27.96% | 451s | 26,391 | $0.51 | $0.69 |
| 33rd | Gemini 3.1 Flash Lite (high) | 23.78 | 14.30 | 39.87% | 82s | 28,351 | $1.17 | $1.48 |
| 34th | Claude Sonnet 5 | 23.64 | 10.86 | 54.06% | 109s | 5,962 | $1.65 | $9.86 |
| 35th | Qwen3.7-Max | 22.45 | 18.53 | 17.46% | 196s | 6,710 | $0.97 | $5.14 |
| 36th | ERNIE 5.1 | 20.49 | 15.49 | 24.4% | 457s | 24,093 | $1.73 | $2.57 |
| 37th | openPangu-2.0-Flash | 19.83 | 10.76 | 45.74% | 571s | 28,199 | $0.18 | $0.23 |
| 38th | LongCat-2.0 | 19.40 | 9.74 | 49.79% | 395s | 14,886 | $0.48 | $1.14 |
| 39th | DeepSeek V4 Flash | 19.39 | 13.37 | 31.05% | 63s | 5,286 | $0.04 | $0.29 |
| 40th | Mistral Medium 3.5 | 18.44 | 13.87 | 24.78% | 194s | 27,854 | $5.77 | $7.39 |
| 41st | Doubao-Seed-2.1-pro | 17.49 | 9.74 | 44.31% | 305s | 6,009 | $0.72 | $4.29 |
| 42nd | GLM-5.2 | 14.80 | 10.43 | 29.53% | 23s | 953 | $0.11 | $4.00 |
| 43rd | Ling-2.6-1T | 13.05 | 8.39 | 35.71% | 229s | 4,770 | $0.31 | $2.29 |
| 44th | iFLYTEK Spark X2 | 12.39 | 6.21 | 49.88% | 458s | 11,285 | $0.09 | $0.29 |
| 45th | Gemini 3.1 Flash Lite | 11.79 | 10.28 | 12.81% | 9s | 773 | $0.03 | $1.48 |
| 46th | Mistral Medium 3.5 | 10.83 | 7.13 | 34.16% | 17s | 2,546 | $0.53 | $7.39 |
| 47th | Ling-2.6-flash | 10.07 | 4.85 | 51.84% | 25s | 4,997 | $0.04 | $0.30 |
Quick Start
Connect MiniMax M2.7 API without changing the OpenAI-style request shape. Use it for repository tasks, debugging, document production, and tool-driven agents within 205K context. Define tool schemas and termination rules before autonomous runs.
Get your API key
Create an APINEED key for MiniMax M2.7 API and keep it in an environment variable.
export API_NEED_API_KEY=sk-apineed-v1-...Make your first request
Use minimax-m2.7 for MiniMax M2.7 API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.
TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_NEED_API_KEY,
baseURL: "https://apineed.com/v1"
});
const result = await client.chat.completions.create({
model: "minimax-m2.7",
messages: [
{ role: "user", content: "Why is the sky blue?" }
]
});
console.log(result.choices[0].message.content);Enable streaming and fallbacks
Add stream: true when MiniMax M2.7 API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.
curl https://apineed.com/v1/chat/completions \
-H "Authorization: Bearer $API_NEED_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax-m2.7",
"stream": true,
"messages": [{ "role": "user", "content": "Hello" }]
}'MiniMax M2.7 API Endpoint
MiniMax M2.7 API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.
POST
/v1/chat/completions- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- X-Title
- optional - your site name, for rankings
- Model
- minimax-m2.7
Parameters
MiniMax M2.7 API parameters currently listed for minimax-m2.7 by the OpenRouter Models API. [1]
| Name | Type | Status | Description |
|---|---|---|---|
frequency_penalty | number | Supported | Penalizes repeated token frequency. |
include_reasoning | boolean | Supported | Includes reasoning content in the response when available. |
logit_bias | object | Supported | Adjusts the likelihood of selected tokens. |
logprobs | boolean | Supported | Returns token log probabilities. |
max_tokens | integer | Supported | Limits generated output tokens. |
min_p | number | Supported | Applies minimum-probability sampling. |
presence_penalty | number | Supported | Penalizes tokens already present in the output. |
reasoning | object | Supported | Controls reasoning behavior and token allocation. |
repetition_penalty | number | Supported | Controls repetition across generated tokens. |
response_format | object | Supported | Requests a specific response format. |
seed | integer | Supported | Requests deterministic sampling when supported by the provider. |
stop | string or array | Supported | Stops generation at the supplied sequence. |
structured_outputs | boolean | Supported | Enables schema-constrained structured output. |
temperature | number | Supported | Controls sampling randomness. |
tool_choice | string or object | Supported | Controls which tool the model may call. |
tools | array | Supported | Defines tools available to the model. |
top_k | integer | Supported | Restricts sampling to the highest-probability tokens. |
top_logprobs | integer | Supported | Sets how many top-token log probabilities are returned. |
top_p | number | Supported | Controls nucleus sampling. |
MiniMax M2.7 API Q&A
Model-specific answers for teams comparing MiniMax M2.7 API on capability, benchmark evidence, integration, and cost.
Does MiniMax M2.7 API have a current benchmark rank?
No. MiniMax M2.7 is not listed in the July 2026 LLM2014 logic dataset.
How large is the MiniMax M2.7 API context window?
The catalog lists 204,800 tokens of context with text input and text output.
What does MiniMax M2.7 API cost through APINEED?
See the live pricing table above for the current API Need input and output prices for minimax-m2.7.
Which MiniMax M2.7 workflows should be tested?
For MiniMax M2.7 API, test coding, debugging, tool execution, and document generation with realistic context and explicit completion limits.
Which endpoint serves MiniMax M2.7 API?
Call MiniMax M2.7 API through https://apineed.com/v1/chat/completions with minimax-m2.7 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.
How do I validate MiniMax M2.7 API before release?
Evaluate MiniMax M2.7 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.
How to Deploy the MiniMax M2.7 API on apineed.com
Deploy MiniMax M2.7 API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.
Add credits for MiniMax M2.7 API
Add credits on APINEED before deploying the MiniMax M2.7 API. Pay-as-you-go billing lets usage start small and scale with production traffic.
Get your API key
Create an APINEED API key for the MiniMax M2.7 API. The same key can call MiniMax M2.7 and other AI APIs through apineed.com.
Set the model slug
Use minimax-m2.7 as the model value when you deploy the MiniMax M2.7 API. Keep the APINEED base URL at https://apineed.com/v1.
Send a request to MiniMax M2.7 API
Send chat completions or responses to the MiniMax M2.7 API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.