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Comparison · 3 models · Updated Oct 4, 2026

Grok 4.3 vs Claude Haiku 4.5 vs Qwen3 Max

Grok 4.3 comes out ahead, 67 to 58 and 50 on our weighted score, and it is the cheaper option too.

  1. Our pick

    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. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
01 — Verdict

Grok 4.3 is our pick

Grok 4.3 is the better all-round choice, scoring 67/100 against Claude Haiku 4.5 (58) and Qwen3 Max (50). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGrok 4.3Capabilities Index (ECI): Grok 4.3 149.2 · Claude Haiku 4.5 142.4 · Qwen3 Max 142.4
  • Lowest priceGrok 4.3Grok 4.3 $1.56 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.3Grok 4.3 1,000,000 · Qwen3 Max 262,144 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsGrok 4.3 and Claude Haiku 4.5Grok 4.3: Text, Images, PDFs · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 Max: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGrok 4.3Claude Haiku 4.5Qwen3 Max
CapabilityCapabilities Index (ECI)50%776968
Price25%413632
Inputs & features15%808025
Context window10%603237
Overall100%67/10058/10050/100
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 Qwen3 Max specifications side by side
SpecificationGrok 4.3xAIClaude Haiku 4.5AnthropicQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)149.2 (best)142.4142.4
ECI rank#55 of 148 (best)#90 of 148#91 of 148
GPQA DiamondGraduate-level science questions88.8% (best)71.2%72.6%
FrontierMath Tiers 1–3Research-level mathematics42.8% (best)—19.0%
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)66.7%73.3%
SimpleQA VerifiedShort factual questions33.2%13.2%48.8% (best)
Price per million tokens
Input$1.25$1.00 (best)$1.20
Output$2.50 (best)$5.00$6.00
Cached input$0.20$0.10 (best)—
Blended (3:1)$1.56 (best)$2.00$2.40
Long-context rateOver 200K: $2.50 / $5.00Same rateSame rate
Price sourceOfficial xAI APIOfficial Anthropic APIOfficial Alibaba API
Limits
Context window1,000,000 tokens (best)200,000 tokens262,144 tokens
Max output30,000 tokens64,000 tokens65,536 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · highYesNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgrok-4.3claude-haiku-4-5qwen3-max
API providers2734 (best)16
ReleasedApr 17, 2026Oct 15, 2025Sep 23, 2025
Knowledge cutoff—Feb 28, 2025Apr 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
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Grok 4.3, Claude Haiku 4.5 or Qwen3 Max?

Grok 4.3 is the better all-round choice, scoring 67/100 against Claude Haiku 4.5 (58) and Qwen3 Max (50). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Grok 4.3, Claude Haiku 4.5 or Qwen3 Max?

Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba 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 $2.00 for Claude Haiku 4.5 (1.3× as much) and $2.40 for Qwen3 Max (1.5× as much).

Which scores higher on benchmarks?

Grok 4.3 scores higher on the Capabilities Index (ECI): Grok 4.3 149.2 (#55 of 148), Claude Haiku 4.5 142.4 (#90 of 148) and Qwen3 Max 142.4 (#91 of 148). Their confidence ranges do not overlap (147.6–150.8 vs 139.5–144.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Qwen3 Max 48.8%, 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 Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Grok 4.3 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 Qwen3 Max 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, Qwen3 Max up to 65,536 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; Qwen3 Max accepts text. Grok 4.3 handles the widest range of inputs.

Are any of these open source?

No. Grok 4.3, Claude Haiku 4.5 and Qwen3 Max are proprietary and only available through APIs and apps.

Which is newer?

Grok 4.3 is the newest, released Apr 17, 2026. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Qwen3 Max Apr 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.