ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Grok 4.3 vs Claude Haiku 4.5 vs Kimi K2.7 Code

Too close to call on our weighted score (Grok 4.3 67, Kimi K2.7 Code 64, Claude Haiku 4.5 58). The right pick depends on what you value most.

  1. xAI

    Grok 4.3

    Released Apr 17, 2026

    67/100
    • ECI149.2
    • Price$1.25 / $2.50
    • Context1M
  2. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
  3. Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    64/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Kimi K2.7 Code 64/100, Claude Haiku 4.5 58/100), so choose by what matters most for your work: Kimi K2.7 Code for raw capability, Grok 4.3 on price and Grok 4.3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · Grok 4.3 149.2 · Claude Haiku 4.5 142.4
  • Lowest priceGrok 4.3Grok 4.3 $1.56 · Kimi K2.7 Code $1.71 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.3Grok 4.3 1,000,000 · Kimi K2.7 Code 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsSame inputsGrok 4.3: Text, Images, PDFs · Claude Haiku 4.5: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightGrok 4.3Claude Haiku 4.5Kimi K2.7 Code
CapabilityCapabilities Index (ECI)50%776978
Price25%413639
Inputs & features15%808080
Context window10%603237
Overall100%67/10058/10064/100
02 — Side by side

Every spec in one table

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

Grok 4.3 vs Claude Haiku 4.5 vs Kimi K2.7 Code specifications side by side
SpecificationGrok 4.3xAIClaude Haiku 4.5AnthropicKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)149.2142.4150.0 (best)
ECI rank#55 of 148#90 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions88.8% (best)71.2%87.9%
FrontierMath Tiers 1–3Research-level mathematics42.8%—54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics93.3%66.7%95.6% (best)
SimpleQA VerifiedShort factual questions33.2%13.2%36.5% (best)
Price per million tokens
Input$1.25$1.00$0.95 (best)
Output$2.50 (best)$5.00$4.00
Cached input$0.20$0.10 (best)$0.19
Blended (3:1)$1.56 (best)$2.00$1.71
Long-context rateOver 200K: $2.50 / $5.00Same rateSame rate
Price sourceOfficial xAI APIOfficial Anthropic APIOfficial Moonshot AI API
Limits
Context window1,000,000 tokens (best)200,000 tokens262,144 tokens
Max output30,000 tokens64,000 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioNoNoNo
VideoNoNoYes
ReasoningYeslow · medium · highYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgrok-4.3claude-haiku-4-5kimi-k2.7-code
API providers273451 (best)
ReleasedApr 17, 2026Oct 15, 2025Jun 12, 2026
Knowledge cutoff—Feb 28, 2025Jan 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.

  • Grok 4.3$17.50
  • Claude Haiku 4.5$20.00
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Grok 4.3, Claude Haiku 4.5 or Kimi K2.7 Code?

It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Kimi K2.7 Code 64/100, Claude Haiku 4.5 58/100), so choose by what matters most for your work: Kimi K2.7 Code for raw capability, Grok 4.3 on price and Grok 4.3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Grok 4.3, Claude Haiku 4.5 or Kimi K2.7 Code?

Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Kimi K2.7 Code costs $0.95 input / $4.00 output per million tokens (official Moonshot AI API price); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.56 per million tokens for Grok 4.3 versus $1.71 for Kimi K2.7 Code (1.1× as much) and $2.00 for Claude Haiku 4.5 (1.3× as much).

Which scores higher on benchmarks?

Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148), Grok 4.3 149.2 (#55 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 147.6–150.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, Kimi K2.7 Code 87.9%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Grok 4.3 93.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Kimi K2.7 Code 36.5%, Grok 4.3 33.2%, Claude Haiku 4.5 13.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.3, Claude Haiku 4.5 and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Grok 4.3 has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.7 Code and 200,000 for Claude Haiku 4.5. Maximum output per response: Grok 4.3 up to 30,000, Claude Haiku 4.5 up to 64,000, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Grok 4.3 accepts text, images and PDFs; Claude Haiku 4.5 accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; Grok 4.3 and Claude Haiku 4.5 is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Grok 4.3 came out Apr 17, 2026; Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Kimi K2.7 Code 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.