Agentic
Like-for-like- Composer 2
- 61.7
- MiniMax M2.7
- 57.0
- Weighted basis
- 1 vs 1 rows
- Reading
- Composer 2 leads
Model comparison
Composer 2 vs MiniMax M2.7
Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
4 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Agentic work
Tool use, computer use, and multi-step task completion
Composer 2
Composer 2 leads on the same 1 weighted benchmark row.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
MiniMax M2.7
MiniMax M2.7 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 M2.7
MiniMax M2.7 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Cache-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. Composer 2 does not fit this workload in one request. MiniMax M2.7 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 Composer 2 only
4 Shared
14 MiniMax M2.7 only
- Shared results
- 4
- Composer 2 only
- 1
- MiniMax M2.7 only
- 14
- Like-for-like categories
- 1 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Coding
Directional only- Composer 2
- 58.0
- MiniMax M2.7
- 53.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Reasoning
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Composer 2
- Not measured
- MiniMax M2.7
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Composer 2 | MiniMax M2.7 | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 61.7 | 57.0 | Like-for-like1 vs 1 rows | Composer 2 leads |
| Coding | 58.0 | 53.3 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-Rebench
Coding
Terminal-Bench 2.0
Agentic
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
- Composer 2
- $0.00175
- Fits in one request
- MiniMax M2.7
- $0.0009
- Fits in one request
MiniMax M2.7 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Composer 2
- $0.0325
- Fits in one request
- MiniMax M2.7
- $0.0186
- Fits in one request
MiniMax M2.7 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Composer 2
- $0.135
- Does not fit in one request
- Cached input priced at the published list-input rate
- MiniMax M2.7
- $0.078
- Does not fit in one request
- Cached input priced at the published list-input rate
Composer 2 does not fit this workload in one request. MiniMax M2.7 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationComposer 2MiniMax M2.7
Context window
Maximum documented context; output-token limits may be lower.
Composer 2
200K
MiniMax M2.7
200K
API model ID
Composer 2
Not sourced
MiniMax M2.7
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Composer 2
Not published
MiniMax M2.7
Not published
Documented inputs
Composer 2
Not sourced
MiniMax M2.7
Not sourced
Documented outputs
Composer 2
Not sourced
MiniMax M2.7
Not sourced
Provider availability
Composer 2
Not sourced
MiniMax M2.7
Not sourced
Reasoning profile
Composer 2
Reasoning
MiniMax M2.7
Non-Reasoning
Weight access
Composer 2
Proprietary
MiniMax M2.7
Open Weight
License
Composer 2
Proprietary
MiniMax M2.7
Open Weight
Release date
Composer 2
2026-03-19
MiniMax M2.7
2026-03-18
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
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- Repository review: $0.0325 vs $0.0186. Cache-heavy agent loop: $0.135 vs $0.078.
- Context tradeoff
- Both models list 200K.
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence19 rows
Agentic
Terminal-Bench 2.0
Composer 261.7%SourceMiniMax M2.757%SourceComposer 2 leads this result
Toolathlon
Composer 2—MiniMax M2.746.3%SourceNot directly comparable
MLE-Bench Lite
Composer 2—MiniMax M2.766.6%SourceNot directly comparable
MM-ClawBench
Composer 2—MiniMax M2.762.7%SourceNot directly comparable
Claw-Eval
Composer 2—MiniMax M2.748.7%SourceNot directly comparable
Gert Labs
Composer 2—MiniMax M2.740.40%SourceNot directly comparable
Coding
SWE Multilingual
Composer 273.7%SourceMiniMax M2.776.5%SourceMiniMax M2.7 leads this result
SWE-Rebench
Shared sourceComposer 258%MiniMax M2.751.9%Composer 2 leads this result
React Native Evals
Shared sourceComposer 296.1%MiniMax M2.771.4%Composer 2 leads this result
Terminal-Bench 2.0
Composer 261.7%SourceMiniMax M2.7—Not directly comparable
SWE-bench Verified*
Composer 2—MiniMax M2.775.4%SourceNot directly comparable
SWE-bench Pro
Composer 2—MiniMax M2.756.2%SourceNot directly comparable
Multi-SWE Bench
Composer 2—MiniMax M2.752.7%SourceNot directly comparable
VIBE-Pro
Composer 2—MiniMax M2.755.6%SourceNot directly comparable
NL2Repo
Composer 2—MiniMax M2.739.8%SourceNot directly comparable
Vibe Code Bench
Composer 2—MiniMax M2.727.04%SourceNot directly comparable
Knowledge
Math
AIME25 (Arcee)
Composer 2—MiniMax M2.780.0%SourceNot directly comparable
Frequently asked questions
Which is better, Composer 2 or MiniMax M2.7?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Composer 2 or MiniMax M2.7?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Composer 2 or MiniMax M2.7?
Composer 2 leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.
Which costs less, Composer 2 or MiniMax M2.7?
For the stated presets, chat costs $0.00175 on Composer 2 and $0.0009 on MiniMax M2.7; repository review costs $0.0325 and $0.0186; the cache-heavy agent loop costs $0.135 and $0.078. Composer 2 does not fit this workload in one request. MiniMax M2.7 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. MiniMax M2.7 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Composer 2 or MiniMax M2.7?
Both models list the same context window, 200K.
Related comparisons
Last updated August 7, 2026
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