Long documents
Prompts that approach the documented context limit
MiniMax M3
MiniMax M3 has the larger documented context window.
Confidence: documented
MiniMax M3 vs o1-mini
Updated October 14, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
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Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 0
- MiniMax M3 only
- 27
- o1-mini only
- 7
- Like-for-like categories
- 0 / 8
Supported: MiniMax M3How the comparison works
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Chat turn cost
1K fresh input + 500 output tokens
MiniMax M3
MiniMax M3 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
MiniMax M3
MiniMax M3 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCoding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
O1-mini is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
O1-mini is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. o1-mini does not fit this workload in one request.
Confidence: listed-rates
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
36.8MiniMax M3—o1-mini
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
27 MiniMax M3 only
7 o1-mini only
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Agentic
Not comparable- MiniMax M3
- 40.1
- Supported · #61/124
- o1-mini
- Not ranked
- Basis
- BenchAlign v5.8 lane · 9 vs 0 public rows
- Reading
- Not comparable
Coding
Not comparable- MiniMax M3
- 36.8
- Supported · #72/149
- o1-mini
- Not ranked
- Basis
- BenchAlign v5.8 lane · 10 vs 1 public rows
- Reading
- Not comparable
Reasoning
Not comparable- MiniMax M3
- 82.9
- #5/29
- o1-mini
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- MiniMax M3
- 61.5
- #43/54
- o1-mini
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- MiniMax M3
- 49.7
- Supported · #81/181
- o1-mini
- Not ranked
- Basis
- BenchAlign v5.8 lane · 2 vs 3 public rows
- Reading
- Not comparable
Multilingual
Not comparable- MiniMax M3
- Not ranked
- o1-mini
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- MiniMax M3
- 93.8
- #5/128
- o1-mini
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- MiniMax M3
- Not ranked
- o1-mini
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
| Category | MiniMax M3 | o1-mini | Basis | Reading |
|---|---|---|---|---|
| Agentic | 40.1Supported · #61/124 | Not ranked | Not comparableBenchAlign v5.8 lane · 9 vs 0 public rows | Not comparable |
| Coding | 36.8Supported · #72/149 | Not ranked | Not comparableBenchAlign v5.8 lane · 10 vs 1 public rows | Not comparable |
| Reasoning | 82.9#5/29 | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 61.5#43/54 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Knowledge | 49.7Supported · #81/181 | Not ranked | Not comparableBenchAlign v5.8 lane · 2 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 93.8#5/128 | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- MiniMax M3
- $0.0009
- Fits in one request
- o1-mini
- $0.0033
- Fits in one request
MiniMax M3 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- MiniMax M3
- $0.0186
- Fits in one request
- o1-mini
- $0.0682
- Fits in one request
MiniMax M3 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- MiniMax M3
- $0.03
- Fits in one request
- o1-mini
- $0.176
- Does not fit in one request
o1-mini does not fit this workload in one request.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMiniMax M3o1-mini
Context window
Maximum documented context; output-token limits may be lower.
MiniMax M3
1M
o1-mini
API model ID
MiniMax M3
Not sourced
o1-mini
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
MiniMax M3
$0.06 per 1M cached input tokens
o1-mini
$0.55 per 1M cached input tokens
OpenAI o1-mini model documentationDocumented inputs
MiniMax M3
Not sourced
o1-mini
Not sourced
Documented outputs
MiniMax M3
Not sourced
o1-mini
Not sourced
Provider availability
MiniMax M3
Not sourced
o1-mini
Not sourced
Reasoning profile
MiniMax M3
Non-Reasoning
o1-mini
Reasoning
Weight access
MiniMax M3
Open Weight
o1-mini
Proprietary
License
MiniMax M3
Open Weight
o1-mini
Proprietary
Release date
MiniMax M3
2026-06-01
o1-mini
2024-09-12
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- Repository review: $0.0186 vs $0.0682. Cache-heavy agent loop: $0.03 vs $0.176.
- Context tradeoff
- MiniMax M3 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, MiniMax M3 or o1-mini?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, MiniMax M3 or o1-mini?
O1-mini is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, MiniMax M3 or o1-mini?
O1-mini is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, MiniMax M3 or o1-mini?
For the stated presets, chat costs $0.0009 on MiniMax M3 and $0.0033 on o1-mini; repository review costs $0.0186 and $0.0682; the cache-heavy agent loop costs $0.03 and $0.176. o1-mini does not fit this workload in one request.
Which has the larger context window, MiniMax M3 or o1-mini?
MiniMax M3 has the larger documented context window: 1M, compared with 128K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence34 rows
Agentic
Terminal-Bench 2.1
MiniMax M366.0%Sourceo1-mini—Not directly comparable
BrowseComp
MiniMax M383.5%Sourceo1-mini—Not directly comparable
OSWorld-Verified
MiniMax M370.1%Sourceo1-mini—Not directly comparable
MCP Atlas
MiniMax M374.2%Sourceo1-mini—Not directly comparable
Claw-Eval
MiniMax M374.5%Sourceo1-mini—Not directly comparable
BankerToolBench
MiniMax M376.1%Sourceo1-mini—Not directly comparable
ResearchClawBench
MiniMax M319.8%Sourceo1-mini—Not directly comparable
OSWorld 2.0
MiniMax M34.6%Sourceo1-mini—Not directly comparable
Terminal-Bench 2.1 (Vals)
MiniMax M353.6%Sourceo1-mini—Not directly comparable
Coding
SWE-bench Verified
MiniMax M380.5%Sourceo1-mini—Not directly comparable
SWE-bench Pro
MiniMax M359%Sourceo1-mini—Not directly comparable
Terminal-Bench 2.1
MiniMax M366.0%Sourceo1-mini—Not directly comparable
NL2Repo
MiniMax M342.1%Sourceo1-mini—Not directly comparable
VIBE V2
MiniMax M350.1%Sourceo1-mini—Not directly comparable
SVG-Bench
MiniMax M363.7%Sourceo1-mini—Not directly comparable
KernelBench Hard
MiniMax M328.8%Sourceo1-mini—Not directly comparable
OpenHarmony Bench
MiniMax M348.4%Sourceo1-mini—Not directly comparable
LiveCodeBench (Vals)
MiniMax M382.2%Sourceo1-mini—Not directly comparable
SWE-bench (Vals)
MiniMax M375.0%Sourceo1-mini—Not directly comparable
HumanEval
MiniMax M3—o1-mini92.4%SourceNot directly comparable
Reasoning
DROP
MiniMax M3—o1-mini83.9%SourceNot directly comparable
Multimodal
OfficeQA Pro
MiniMax M345.1%Sourceo1-mini—Not directly comparable
OmniDocBench 1.5
MiniMax M391.6%Sourceo1-mini—Not directly comparable
MMMU-Pro
MiniMax M378.1%Sourceo1-mini—Not directly comparable
VideoMMMU
MiniMax M384.6%Sourceo1-mini—Not directly comparable
Video-MME (with subtitle)
MiniMax M385.4%Sourceo1-mini—Not directly comparable
Knowledge
GPQA Diamond (Vals)
MiniMax M392.7%Sourceo1-mini—Not directly comparable
MMLU-Pro (Vals)
MiniMax M384.2%Sourceo1-mini—Not directly comparable
MMLU
MiniMax M3—o1-mini85.2%SourceNot directly comparable
GPQA
MiniMax M3—o1-mini60%SourceNot directly comparable
SimpleQA
MiniMax M3—o1-mini7.6%SourceNot directly comparable
Multilingual
MGSM
MiniMax M3—o1-mini89.9%SourceNot directly comparable
Math
34 public results · 0 shared
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Last updated October 14, 2026