Chat turn cost
1K fresh input + 500 output tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Updated November 5, 2026. Rank says Step 5 Preview is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Step 5 Preview has the higher public point estimate, 56.81 versus 55.27. Their conditional score ranges overlap. These ranges do not establish rank confidence. 10 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
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.
1K fresh input + 500 output tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
50K fresh input + 3K output tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
MiMo-V2.6-Flash and Step 5 Preview are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
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.
Directional only · BenchAlign v5.8
MiMo-V2.6-Flash has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
AutomationBenchAgentic
Normalized gap 8.3Each 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.
| Category | MiMo-V2.6-Flash | Step 5 Preview | Basis | Reading |
|---|---|---|---|---|
| Agentic | 49.3Estimated · #57/135 | 55.3Estimated · #42/135 | Directional onlyBenchAlign v5.8 lane · 9 vs 13 public rows | Directional only |
| Coding | 55.9Supported · #27/156 | 48.8Estimated · #47/156 | Directional onlyBenchAlign v5.8 lane · 3 vs 6 public rows | Directional only |
| Knowledge | 53.0Estimated · #67/177 | 61.0Supported · #44/177 | Directional onlyBenchAlign v5.8 lane · 0 vs 2 public rows | Directional only |
| Reasoning | 76.0Unranked · 2 rankable rows | 82.5Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 72.6Unranked · 1 rankable row | 73.3#32/58 | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 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.
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.
1K fresh input + 500 output tokens
MiMo-V2.6-Flash has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
MiMo-V2.6-Flash has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
MiMo-V2.6-Flash has the lower modeled cost
Costs use the listed standard API rates.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
MiMo-V2.6-Flash
Step 5 Preview
MiMo-V2.6-Flash
Not sourced
Step 5 Preview
step-5-preview
StepFun Step 5 Preview model documentationA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
MiMo-V2.6-Flash
$0.0028 per 1M cached input tokens
Xiaomi MiMo-V2.6 launchStep 5 Preview
$0.05 per 1M cached input tokens
StepFun pricing and rate limitsMiMo-V2.6-Flash
Not sourced
Step 5 Preview
text, image, video
StepFun Step 5 Preview model documentationMiMo-V2.6-Flash
Not sourced
Step 5 Preview
MiMo-V2.6-Flash
Not sourced
Step 5 Preview
Preview · StepFun Open Platform API, Hugging Face, self-hosted inference
StepFun Step 5 Preview model documentationMiMo-V2.6-Flash
Reasoning
Step 5 Preview
Reasoning
MiMo-V2.6-Flash
Open Weight
Step 5 Preview
Open Weight
MiMo-V2.6-Flash
Open Weight
Step 5 Preview
Open Weight
MiMo-V2.6-Flash
2026-09-22
Step 5 Preview
2026-09-20
Step 5 Preview has the higher public point estimate, 56.81 versus 55.27. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
MiMo-V2.6-Flash scores higher for coding on the public lane, 55.9 to 48.8. Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Step 5 Preview scores higher for agentic tasks on the public lane, 55.3 to 49.3. MiMo-V2.6-Flash and Step 5 Preview are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
For the stated presets, chat costs $0.00028 on MiMo-V2.6-Flash and $0.00235 on Step 5 Preview; repository review costs $0.00784 and $0.0581; the cache-heavy agent loop costs $0.00616 and $0.057. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Toolathlon-Verified
Step 5 Preview leads this result
AutomationBench
MiMo-V2.6-Flash leads this result
Agents' Last Exam
Step 5 Preview leads this result
Terminal-Bench 4.0
Step 5 Preview leads this result
Terminal-Bench 2.1
MiMo-V2.6-Flash leads this result
OSWorld-Verified
Not directly comparable
JobBench
MiMo-V2.6-Flash leads this result
CyberGym
MiMo-V2.6-Flash leads this result
ExploitGym
Not directly comparable
MCP Atlas
Not directly comparable
APEX-Agents
Not directly comparable
DRACO
Not directly comparable
BrowseComp
Not directly comparable
Hermes Index
Not directly comparable
Hermes Bench
Not directly comparable
DeepSWE
MiMo-V2.6-Flash leads this result
ProgramBench
Step 5 Preview leads this result
Terminal-Bench 2.1
MiMo-V2.6-Flash leads this result
SciCode
Not directly comparable
sweMarathon
Not directly comparable
MLS-Bench Lite
Not directly comparable
CritPt
Not directly comparable
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Last updated November 5, 2026