ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Command A Plus vs Claude Mythos 5 vs Kimi K2.7 Code Highspeed

Kimi K2.7 Code Highspeed comes out ahead, 44 to 36 and 35 on our weighted score, and it is the cheaper option too.

  1. Cohere

    Command A Plus

    Released May 20, 2026

    35/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
  2. Anthropic

    Claude Mythos 5

    Released Jun 9, 2026

    36/100
    • ECI—
    • Price$10.00 / $50.00
    • Context1M
  3. Our pick

    Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

    44/100
    • ECI—
    • Price$1.90 / $8.00
    • Context262K
01 — Verdict

Kimi K2.7 Code Highspeed is our pick

Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against Claude Mythos 5 (36) and Command A Plus (35). It leads on price. Claude Mythos 5 wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed $3.42 · Command A Plus $4.38 · Claude Mythos 5 $20.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Mythos 5Claude Mythos 5 1,000,000 · Kimi K2.7 Code Highspeed 262,144 · Command A Plus 128,000 tokens
  • Widest inputsClaude Mythos 5 and Kimi K2.7 Code HighspeedCommand A Plus: Text, Images · Claude Mythos 5: Text, Images, PDFs · Kimi K2.7 Code Highspeed: Text, Images, Video
  • Self-hostingCommand A Plus and Kimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightCommand A PlusClaude Mythos 5Kimi K2.7 Code Highspeed
Price50%19025
Inputs & features30%708080
Context window20%246037
Overall100%35/10036/10044/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Command A Plus vs Claude Mythos 5 vs Kimi K2.7 Code Highspeed specifications side by side
SpecificationCommand A PlusCohereClaude Mythos 5AnthropicKimi K2.7 Code HighspeedMoonshot AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$2.50$10.00$1.90 (best)
Output$10.00$50.00$8.00 (best)
Cached input———
Blended (3:1)$4.38$20.00$3.42 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Cohere APIMedian of 2 providersMedian of 11 providers
Limits
Context window128,000 tokens1,000,000 tokens (best)262,144 tokens
Max output64,000 tokens128,000 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenProprietaryOpen
API model IDcommand-a-plus-05-2026——
API providers1211 (best)
ReleasedMay 20, 2026Jun 9, 2026Jun 12, 2026
Knowledge cutoffApr 1, 2025Jan 31, 2026Jan 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Command A Plus$45.00
  • Claude Mythos 5$200.00
  • Kimi K2.7 Code Highspeed$35.00
04 — Questions

Which should you choose?

Which is better: Command A Plus, Claude Mythos 5 or Kimi K2.7 Code Highspeed?

Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against Claude Mythos 5 (36) and Command A Plus (35). It leads on price. Claude Mythos 5 wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Command A Plus, Claude Mythos 5 or Kimi K2.7 Code Highspeed?

Kimi K2.7 Code Highspeed is cheaper at $1.90 input / $8.00 output per million tokens (median across 11 API providers). Command A Plus costs $2.50 input / $10.00 output per million tokens (official Cohere API price); Claude Mythos 5 costs $10.00 input / $50.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $3.42 per million tokens for Kimi K2.7 Code Highspeed versus $4.38 for Command A Plus (1.3× as much) and $20.00 for Claude Mythos 5 (5.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Command A Plus has not been scored yet, Claude Mythos 5 has not been scored yet and Kimi K2.7 Code Highspeed has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Command A Plus, Claude Mythos 5 and Kimi K2.7 Code Highspeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Mythos 5 has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.7 Code Highspeed and 128,000 for Command A Plus. Maximum output per response: Command A Plus up to 64,000, Claude Mythos 5 up to 128,000, Kimi K2.7 Code Highspeed up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Command A Plus accepts text and images; Claude Mythos 5 accepts text, images and PDFs; Kimi K2.7 Code Highspeed accepts text, images and video. Claude Mythos 5 handles the widest range of inputs.

Are any of these open source?

Command A Plus and Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Claude Mythos 5 is proprietary.

Which is newer?

Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. Claude Mythos 5 came out Jun 9, 2026; Command A Plus came out May 20, 2026. Knowledge cutoff: Command A Plus Apr 1, 2025, Claude Mythos 5 Jan 31, 2026, Kimi K2.7 Code Highspeed Jan 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.