MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Updated 13 min ago · first seen 11 Sept 2026
model_01M294AJ5MW8751R5TETXEVZS8
- Context
- 1.05M tokens
- T2 · 13 min ago
- Released
- 31 May 2026
- T2 · 13 min ago
Specification
- Release date
- 31 May 2026
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Context window
- 1.05M tokens
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Max output
- 512K tokens
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Modalities
- image, text, video
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Input modalities
- image, text, video
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Hugging Face repo
- MiniMaxAI/Minimax-M3
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Openrouter id
- minimax/minimax-m3
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
14
Source tiers
T214
Freshest observation
13 min ago
Conflicts
None
Modalities
- Modalities
- imagetextvideo
- Input
- imagetextvideo
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 1.05M tokens
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
- Max output
- 512K tokens
Source:OpenRouter public model & pricing listingT2observed 13 min agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Fireworks AIfireworks/minimax-m3 | $0.30 | $1.2 | $0.06 | — | — | 23 min ago | app.fireworks.aiT1 |
| MiniMax APIminimax/minimax-m3 | $0.30 | $1.2 | $0.06 | — | 524.3K | 13 min ago | openrouter.aiT2 |
| MiniMax APIminimax/minimax-m3:batch | $0.30 | $1.2 | $0.06 | — | 524.3K | 13 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 2
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Fireworks AI
- MiniMax API
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 31 May 2026 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Context windowcontext_length1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 1.05M tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Max outputmax_output_tokens1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 512K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Modalitiesmodalities1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| image, text, video | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Input modalitiesmodalities_input1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| image, text, video | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Output modalitiesmodalities_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| MiniMaxAI/Minimax-M3 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Descriptiondescription1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,... | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Openrouter idopenrouter_id1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| minimax/minimax-m3 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Reasoningreasoning1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Structured outputstructured_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Tool callingtool_calling1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Visionvision1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
MiniMax API lists MiniMax M3 at $0.3 in / $1.2 out per 1M tokens
openrouterMiniMax API lists MiniMax M3 at $0.3 in / $1.2 out per 1M tokens
openrouterFireworks AI lists MiniMax M3 at $0.3 in / $1.2 out per 1M tokens
fireworks_pricing
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Fireworks AI — pricing | docs.fireworks.ai/serverless/pricing.md | pricing | T1· Official | 18 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 13 min ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.