MiniCPM5-1B vs Qwen3.5 397B

Updated October 7, 2026. Rank says Qwen3.5 397B is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

Qwen3.5 397B has the higher public point estimate, 53.97 versus 5.12. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

MiniCPM5-1B

OpenBMB

5.12/100

Estimated · Public rank #212

Conditional range 0.0–19.5

Model B

Qwen3.5 397B

Alibaba

53.97/100

Estimated · Public rank #68

Conditional range 39.6–68.3

Shared results: 7
MiniCPM5-1B only: 7
Qwen3.5 397B only: 31
Like-for-like categories: 0 / 8

Estimated: MiniCPM5-1B and Qwen3.5 397B. Conditional ranges do not establish rank confidence.How 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.

Long documents
Prompts that approach the documented context limit
MiniCPM5-1B
MiniCPM5-1B has the larger documented context window.
Confidence: documented

Show secondary and unsupported calls

Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
MiniCPM5-1B and Qwen3.5 397B are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
MiniCPM5-1B is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
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. MiniCPM5-1B does not fit this workload in one request. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. MiniCPM5-1B has no comparable published API token rate.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
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.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

—MiniCPM5-1B—Qwen3.5 397B

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.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

HMMT Feb 2026Math
Normalized gap 62.1
MiniCPM5-1B:25.8%
Qwen3.5 397B:87.9%
MiniCPM5-1B source Qwen3.5 397B source
AIME26Math
Normalized gap 52.9
MiniCPM5-1B:40.4%
Qwen3.5 397B:93.3%
MiniCPM5-1B source Qwen3.5 397B source
SuperGPQAKnowledge
Normalized gap 47.3
MiniCPM5-1B:23.1%
Qwen3.5 397B:70.4%
MiniCPM5-1B source Qwen3.5 397B source
MMLU-ProKnowledge
Normalized gap 38.9
MiniCPM5-1B:48.9%
Qwen3.5 397B:87.8%
MiniCPM5-1B source Qwen3.5 397B source

Bars run 0–100 on each benchmark’s normalized display scale

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.

Knowledge

Directional only

MiniCPM5-1B: 7.8; Estimated · #174/174
Qwen3.5 397B: 49.7; Estimated · #68/174
Basis: BenchAlign v5.8 lane · 4 vs 6 public rows
Reading: Directional only

Instruction following

Directional only

MiniCPM5-1B: 9.7; #123/125
Qwen3.5 397B: 0.0; #125/125
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Directional only

Agentic

Not comparable

MiniCPM5-1B: Not ranked
Qwen3.5 397B: 39.8; Estimated · #61/122
Basis: BenchAlign v5.8 lane · 1 vs 13 public rows
Reading: Not comparable

Coding

Not comparable

MiniCPM5-1B: Not ranked
Qwen3.5 397B: Not ranked
Basis: BenchAlign v5.8 lane · 2 vs 3 public rows
Reading: Not comparable

Reasoning

Not comparable

MiniCPM5-1B: Not ranked
Qwen3.5 397B: 61.0; Unranked · 2 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Multimodal

Not comparable

MiniCPM5-1B: Not ranked
Qwen3.5 397B: 63.9; #27/49
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Not comparable

Multilingual

Not comparable

MiniCPM5-1B: Not ranked
Qwen3.5 397B: 93.8; #5/16
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

MiniCPM5-1B: 5.4; Unranked · 4 rankable rows
Qwen3.5 397B: 73.5; Unranked · 5 rankable rows
Basis: Provisional lane · 2 vs 2 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for MiniCPM5-1B and Qwen3.5 397B
Category	MiniCPM5-1B	Qwen3.5 397B	Basis	Reading
Knowledge	7.8Estimated · #174/174	49.7Estimated · #68/174	Directional onlyBenchAlign v5.8 lane · 4 vs 6 public rows	Directional only
Instruction following	9.7#123/125	0.0#125/125	Directional onlyProvisional lane · 1 vs 0 weighted rows	Directional only
Agentic	Not ranked	39.8Estimated · #61/122	Not comparableBenchAlign v5.8 lane · 1 vs 13 public rows	Not comparable
Coding	Not ranked	Not ranked	Not comparableBenchAlign v5.8 lane · 2 vs 3 public rows	Not comparable
Reasoning	Not ranked	61.0Unranked · 2 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Multimodal	Not ranked	63.9#27/49	Not comparableProvisional lane · 0 vs 2 weighted rows	Not comparable
Multilingual	Not ranked	93.8#5/16	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	5.4Unranked · 4 rankable rows	73.5Unranked · 5 rankable rows	Not comparableProvisional lane · 2 vs 2 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.

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

MiniCPM5-1B: API rate not published; Fits in one request
Qwen3.5 397B: $0.0024; Fits in one request

MiniCPM5-1B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

MiniCPM5-1B: API rate not published; Fits in one request
Qwen3.5 397B: $0.0408; Fits in one request

MiniCPM5-1B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

MiniCPM5-1B: API rate not published; Does not fit in one request; Cached-input rate unavailable
Qwen3.5 397B: $0.168; Does not fit in one request; Cached input priced at the published list-input rate

MiniCPM5-1B does not fit this workload in one request. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate. MiniCPM5-1B has no comparable published API token rate.

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.

SpecificationMiniCPM5-1BQwen3.5 397B

Context window

Maximum documented context; output-token limits may be lower.

MiniCPM5-1B

131K

Qwen3.5 397B

128K

API model ID

MiniCPM5-1B

Not sourced

Qwen3.5 397B

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

MiniCPM5-1B

No comparable hosted API rate

Qwen3.5 397B

Not published

Documented inputs

MiniCPM5-1B

Not sourced

Qwen3.5 397B

Not sourced

Documented outputs

MiniCPM5-1B

Not sourced

Qwen3.5 397B

Not sourced

Provider availability

MiniCPM5-1B

Not sourced

Qwen3.5 397B

Not sourced

Reasoning profile

MiniCPM5-1B

Reasoning

Qwen3.5 397B

Non-Reasoning

Weight access

MiniCPM5-1B

Open Weight

Qwen3.5 397B

Open Weight

License

MiniCPM5-1B

Open Weight

Qwen3.5 397B

Open Weight

Release date

MiniCPM5-1B

2026-05-25

Qwen3.5 397B

2026-02-16

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: Qwen3.5 397B has the higher public point estimate, 53.97 versus 5.12. Their conditional score ranges do not overlap. These ranges do not establish rank confidence.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: MiniCPM5-1B has the larger documented window (131K).

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, MiniCPM5-1B or Qwen3.5 397B?

Qwen3.5 397B has the higher public point estimate, 53.97 versus 5.12. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, MiniCPM5-1B or Qwen3.5 397B?

MiniCPM5-1B and Qwen3.5 397B are not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, MiniCPM5-1B or Qwen3.5 397B?

MiniCPM5-1B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, MiniCPM5-1B or Qwen3.5 397B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, MiniCPM5-1B or Qwen3.5 397B?

MiniCPM5-1B has the larger documented context window: 131K, 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 evidence45 rows

Agentic

BFCL v4
MiniCPM5-1B25.1%
Source
Qwen3.5 397B—
Not directly comparable
Terminal-Bench 2.0
MiniCPM5-1B—
Qwen3.5 397B52.5%
Source
Not directly comparable
BrowseComp
MiniCPM5-1B—
Qwen3.5 397B62%
Source
Not directly comparable
Claw-Eval
MiniCPM5-1B—
Qwen3.5 397B56.8%
Source
Not directly comparable
QwenClawBench
MiniCPM5-1B—
Qwen3.5 397B51.8%
Source
Not directly comparable
τ³-bench results
MiniCPM5-1B—
Qwen3.5 397B68.4%
Source
Not directly comparable
VITA-Bench
MiniCPM5-1B—
Qwen3.5 397B43.7%
Source
Not directly comparable
DeepPlanning
MiniCPM5-1B—
Qwen3.5 397B37.6%
Source
Not directly comparable
Toolathlon
MiniCPM5-1B—
Qwen3.5 397B36.3%
Source
Not directly comparable
MCP Atlas
MiniCPM5-1B—
Qwen3.5 397B46.1%
Source
Not directly comparable
MCP-Tasks
MiniCPM5-1B—
Qwen3.5 397B74.2%
Source
Not directly comparable
WideResearch
MiniCPM5-1B—
Qwen3.5 397B74.0%
Source
Not directly comparable
Gert Labs
MiniCPM5-1B—
Qwen3.5 397B46.76%
Source
Not directly comparable
ResearchClawBench
MiniCPM5-1B—
Qwen3.5 397B14.2%
Source
Not directly comparable

Coding

LiveCodeBench Pro
MiniCPM5-1B22.7%
Source
Qwen3.5 397B—
Not directly comparable
LiveCodeBench v6
MiniCPM5-1B33.5%
Source
Qwen3.5 397B83.6%
Source
Qwen3.5 397B leads this result
SWE-bench Verified
MiniCPM5-1B—
Qwen3.5 397B76.2%
Source
Not directly comparable
SWE-bench Pro
MiniCPM5-1B—
Qwen3.5 397B50.9%
Source
Not directly comparable

Reasoning

BBH
MiniCPM5-1B71.9%
Source
Qwen3.5 397B—
Not directly comparable
LongBench v2
MiniCPM5-1B—
Qwen3.5 397B63.2%
Source
Not directly comparable
AI-Needle
MiniCPM5-1B—
Qwen3.5 397B68.7%
Source
Not directly comparable

Multimodal

MMMU-Pro
MiniCPM5-1B—
Qwen3.5 397B79%
Source
Not directly comparable
MathVision
MiniCPM5-1B—
Qwen3.5 397B88.6%
Source
Not directly comparable
CharXiv
MiniCPM5-1B—
Qwen3.5 397B80.8%
Source
Not directly comparable
VideoMMMU
MiniCPM5-1B—
Qwen3.5 397B84.7%
Source
Not directly comparable
ScreenSpot Pro
MiniCPM5-1B—
Qwen3.5 397B65.6%
Source
Not directly comparable
V*
MiniCPM5-1B—
Qwen3.5 397B95.8%
Source
Not directly comparable

Knowledge

MMLU-Pro
MiniCPM5-1B48.9%
Source
Qwen3.5 397B87.8%
Source
Qwen3.5 397B leads this result
MMLU-Redux
MiniCPM5-1B70.1%
Source
Qwen3.5 397B94.9%
Source
Qwen3.5 397B leads this result
GPQA-D
MiniCPM5-1B26.3%
Source
Qwen3.5 397B—
Not directly comparable
SuperGPQA
MiniCPM5-1B23.1%
Source
Qwen3.5 397B70.4%
Source
Qwen3.5 397B leads this result
GPQA
MiniCPM5-1B—
Qwen3.5 397B88.4%
Source
Not directly comparable
C-Eval
MiniCPM5-1B—
Qwen3.5 397B93%
Source
Not directly comparable
HLE
MiniCPM5-1B—
Qwen3.5 397B28.7%
Source
Not directly comparable

Multilingual

MMLU-ProX
MiniCPM5-1B—
Qwen3.5 397B84.7%
Source
Not directly comparable
NOVA-63
MiniCPM5-1B—
Qwen3.5 397B59.1%
Source
Not directly comparable

Instruction following

IFBench
MiniCPM5-1B46.7%
Source
Qwen3.5 397B—
Not directly comparable
IFEval
MiniCPM5-1B80.4%
Source
Qwen3.5 397B92.6%
Source
Qwen3.5 397B leads this result

Math

AIME 2025
MiniCPM5-1B40.4%
Source
Qwen3.5 397B—
Not directly comparable
AIME26
MiniCPM5-1B40.4%
Source
Qwen3.5 397B93.3%
Source
Qwen3.5 397B leads this result
HMMT Feb 2026
MiniCPM5-1B25.8%
Source
Qwen3.5 397B87.9%
Source
Qwen3.5 397B leads this result
MATH-500
MiniCPM5-1B91.6%
Source
Qwen3.5 397B—
Not directly comparable
HMMT Feb 2025
MiniCPM5-1B—
Qwen3.5 397B94.8%
Source
Not directly comparable
HMMT Nov 2025
MiniCPM5-1B—
Qwen3.5 397B92.7%
Source
Not directly comparable
MMAnswerBench
MiniCPM5-1B—
Qwen3.5 397B80.9%
Source
Not directly comparable

45 public results · 7 shared

Related comparisons

Compare API pricing Read the methodology Open the model selector

Watch MiniCPM5-1B vs Qwen3.5 397B

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 5,500+ readers.

Last updated October 7, 2026

MiniCPM5-1B vs Qwen3.5 397B

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Knowledge

Instruction following

Agentic

Coding

Reasoning

Multimodal

Multilingual

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, MiniCPM5-1B or Qwen3.5 397B?

Which is better for coding, MiniCPM5-1B or Qwen3.5 397B?

Which is better for agentic tasks, MiniCPM5-1B or Qwen3.5 397B?

Which costs less, MiniCPM5-1B or Qwen3.5 397B?

Which has the larger context window, MiniCPM5-1B or Qwen3.5 397B?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch MiniCPM5-1B vs Qwen3.5 397B