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AnthropicOpenAILLM matchup

Claude Haiku 4.5vs.GPT-6 Sol

Which one is better?

GPT-6 Sol performs better than Claude Haiku 4.5, but costs twice as much.

GPT-6 Sol ahead
IntelligenceOverall index, 100 points = average
53.9

Claude Haiku 4.5

Rank 80

110.5

GPT-6 Sol

Rank 13

about as fast
SpeedTokens per second
97

Claude Haiku 4.5

111

GPT-6 Sol

Haiku 4.5 cheaper
Price$ per 1M tokens
$2

Claude Haiku 4.5

$4

GPT-6 Sol

GPT-6 Sol more popular
Popularity0 to 100
32

Claude Haiku 4.5

Rank 497 of 785

73

GPT-6 Sol

Rank 3 of 785

Above 272,000 tokens of context, GPT-6 Sol costs more: $4 input and $15 output per 1M tokens.

Choose Claude Haiku 4.5 for

No clear advantage

Choose GPT-6 Sol for

CodingReasoningGeneralKnowledgeAgentsFinanceProductivity

Where is the difference?

Strengths at a glance

Haiku 4.5GPT-6 SolMedian of all ranked models

659011514040CodingGPT-6 SolReasoningGPT-6 SolKnowledgeGPT-6 SolAgentsGPT-6 SolGeneralGPT-6 SolFinanceGPT-6 Sol
CodingGPT-6 Sol ahead
Haiku 4.549.2Rank 95
GPT-6 Sol114.9Rank 11
Median of ranked models84.1

95 % range: Haiku 4.5 39.0 to 59.3, GPT-6 Sol 112.2 to 117.6.

AreaHaiku 4.5GPT-6 Sol

The same values and verdicts as the bars below. In the close-up the net starts at 40 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Mathematics, Multimodal, Legal, Health.

GPT-6 Sol is ahead in 6 of 10 areas, Haiku 4.5 in none.

too little data: 4GPT-6 Sol ahead: 6

Areas in the overall index
CodingGPT-6 Sol +6649.2 to 114.9
ReasoningGPT-6 Sol +6252.5 to 114.1
GeneralGPT-6 Sol +6152.3 to 113.0
KnowledgeGPT-6 Sol +4960.4 to 109.8
AgentsGPT-6 Sol +4760.3 to 107.2
Mathematicsonly GPT-6 Sol has a score
Multimodalonly GPT-6 Sol has a score
Specialist fields
FinanceGPT-6 Sol +4358.1 to 101.3
Legalonly GPT-6 Sol has a score
Healthonly GPT-6 Sol has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Show 3 more areas that do not count toward the overall index
ProductivityGPT-6 Sol +4059.0 to 99.4
Cybersecurityonly GPT-6 Sol has a score
Searchonly GPT-6 Sol has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Which model for which task?

Everyday tasks, translated from the area values above. Each row names the values it rests on.

Writing and debugging codeGPT-6 SolCoding 49.2 to 114.9
Maths and data analysisGPT-6 SolMathematics without a score for Haiku 4.5, Reasoning 52.5 to 114.1
Facts and researchGPT-6 SolKnowledge 60.4 to 109.8, Search without a score for Haiku 4.5
Agents and workflowsGPT-6 SolAgents 60.3 to 107.2
Fast chat repliesabout the same97 to 111 tokens per second
Security analysisopenCybersecurity without a score for Haiku 4.5
Many requests on a small budgetHaiku 4.5$2 to $4 per 1M tokens
Finance, legal and medical textsGPT-6 SolFinance 58.1 to 101.3, Legal without a score for Haiku 4.5, Health without a score for Haiku 4.5
Images, screenshots and PDFsopenMultimodal without a score for Haiku 4.5

See for yourself: same task, one attempt

The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Task origin: Simon Willison

Claude Haiku 4.5

Claude Haiku 4.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 10 s · $0.0080

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
anthropic/claude-haiku-4.5
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
1,585 tokens
Cost of the attempt
$0.0080
Response time
10.1 s
API model reported in response
anthropic/claude-haiku-4.5
Pinned endpoint
Anthropic | anthropic/claude-4.5-haiku-20251001
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

GPT-6 Sol

GPT-6 Sol: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 1, 2026 · 80 s · $0.04

Test details
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
openai/gpt-6-sol
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
4,389 tokens
Cost of the attempt
$0.0439
Response time
80.5 s
API model reported in response
openai/gpt-6-sol
Pinned endpoint
OpenAI | openai/gpt-6-sol-20260922
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

SVG short test

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

Prompt

Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.

Claude Haiku 4.5

Claude Haiku 4.5: SVG short test

Oct 14, 2026 · $0.0043

Test details
Test run
Oct 14, 2026
Provider
anthropic
API model
anthropic/claude-haiku-4.5
Output
848 tokens
Reasoning
API reports 0 reasoning tokens
Cost of the attempt
$0.0043
Test round
43b8c5c46830

GPT-6 Sol

Unavailable in this round

Claude Haiku 4.5 and GPT-6 Sol in the overall index

Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.

Overall index (Gradually Meta-Score v4)

20 of 92 models

4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Opus 5.5max126.1
Gemini 4 Carbonhigh125.8
Claude Fable 5.1max123.8
Claude Sonnet 5.5max122.8
Gemini 4 Argonhigh122.3
GPT-6 Astramax121.3
GPT-6.1 Solmax119.2
Muse Wonder Fullmax118.3
Claude Opus 5max117.2
Muse Wondermax113.4
Kimi K3.1 Promax112.9
Claude Fable 5max112.5
GPT-6 Solmax110.5
GPT-5.6 Solmax108.7
Muse Spark 1.3max107.4
Gemini 3.7 Flashhigh107.1
DeepSeek V4.1 Flash 1017max106.6
Gemini 3.8 Flashhigh106.5
GPT-6.1 Terramax105.3
Claude Haiku 4.553.9

Popularity compared

How often the models are searched for, used and mentioned, on a scale from 0 to 100.

GPT-6 Sol is more popular than Claude Haiku 4.5: 73 to 32 out of 100.

Over time

Weekly values from October 18, 2026 to November 7, 2026

Claude Haiku 4.5GPT-6 Sol

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricClaude Haiku 4.5GPT-6 Sol
Intelligence
Overall indexpoints, 100 = reference group average, higher is better53.9110.5
RankRank 80 of 92Rank 13 of 92
Price per 1M tokens
Inputwhat you send$1$2above 272,000 tokens: $4
Outputwhat the model writes$5$10above 272,000 tokens: $15
Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included)$0.023$0.044
Speed
Tokens per second97111
Popularity
Popularitysearch, usage and mentions, 0 to 10032Rank 497 of 78573Rank 3 of 785
Technical
Context windowhow much text the model reads at once200,000 tokens≈ 300 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffFebruary 2025Apr 20, 2026
ReleasedOctober 2025Sep 22, 2026
AvailabilityActiveActive
Open weightsnono

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Successor of Haiku 4.5Claude Haiku 5.5

Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens

GPT-6 Sol vs. Claude Haiku 5.5
Successor of GPT-6 SolGPT-6.1 Sol

Overall index 119.2, rank 7$2 input and $10 output per 1M tokens

Haiku 4.5 vs. GPT-6.1 Sol
As cheap as Haiku 4.5Muse Spark 1.3

Overall index 107.4, rank 15$1.25 input and $4.25 output per 1M tokens

GPT-6 Sol vs. Muse Spark 1.3

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

A: Claude Haiku 4.5B: GPT-6 Sol

MMMU-ProOverall · higher is betterClaude Haiku 4.5: 55.1%GPT-6 Sol: 70.3%Artificial AnalysisAs of 11/07/2026
Public Benefits Bench v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 4.5: 54.3%GPT-6 Sol: 56.6%Vals AIAs of 10/12/2026

More comparisons

Compare Claude Haiku 4.5 and GPT-6 Sol with the models people compare them with most often.

Compare another matchup

The most popular comparisons

  1. 1GPT-6 Sol vs. GPT-5.6 Sol
  2. 2GPT-6 Sol vs. DeepSeek-V4.1-Flash
  3. 3GPT-6 Sol vs. Gemini 3.8 Flash
  4. 4GPT-6 Sol vs. GPT-5.6 Terra
  5. 5GPT-6 Astra vs. GPT-6 Sol
  6. 6Claude Haiku 4.5 vs. GPT-6 Luna
  7. 7GPT-6 Sol vs. GLM-5.3-Flash
  8. 8Claude Sonnet 5.5 vs. GPT-6 Sol
  9. 9GPT-6 Sol vs. Gemini 3.1 Pro Preview
Show all 49 comparisons
  1. 10Claude Opus 4.8 vs. GPT-6 Sol
  2. 11GPT-6 Sol vs. GPT-5.4
  3. 12GPT-6 Sol vs. DeepSeek V4.1 Flash 1017
  4. 13GPT-6 Sol vs. Qwen 3.8 27B
  5. 14GPT-6 Sol vs. GPT-6 Luna
  6. 15GPT-6 Sol vs. Kimi K3.1 Pro
  7. 16Claude Sonnet 4.6 vs. GPT-6 Sol
  8. 17Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
  9. 18GPT-6 Sol vs. Grok 4.7
  10. 19Claude Haiku 5.5 vs. GPT-6 Sol
  11. 20Claude Opus 5.5 vs. GPT-6 Sol
  12. 21Claude Haiku 4.5 vs. GLM-5.3-Flash
  13. 22GPT-6 Sol vs. Qwen 3.8 Max 0902
  14. 23Claude Sonnet 5 vs. GPT-6 Sol
  15. 24GPT-6 Sol vs. Kimi K3
  16. 25Claude Fable 5.1 vs. GPT-6 Sol
  17. 26GPT-6 Sol vs. DeepSeek-V4-Pro
  18. 27GPT-6 Sol vs. GPT-5.6 Luna
  19. 28Claude Opus 5 vs. GPT-6 Sol
  20. 29Claude Opus 5.5 vs. Claude Haiku 4.5
  21. 30Claude Sonnet 5 vs. Claude Haiku 4.5
  22. 31GPT-6 Sol vs. Mistral Large 4
  23. 32GPT-6 Sol vs. Gemini 4 Argon
  24. 33Claude Sonnet 5.5 vs. Claude Haiku 4.5
  25. 34Claude Sonnet 4.5 vs. Claude Haiku 4.5
  26. 35GPT-6 Sol vs. Gemini 3.6 Flash
  27. 36Claude Opus 4.6 vs. GPT-6 Sol
  28. 37Claude Haiku 4.5 vs. Gemini 3.8 Flash
  29. 38GPT-6 Sol vs. Muse Wonder
  30. 39Claude Haiku 4.5 vs. DeepSeek V4.1 Flash 1017
  31. 40GPT-6 Sol vs. GPT-5.5
  32. 41Claude Haiku 4.5 vs. Qwen 3.8 Max 0902
  33. 42Claude Haiku 4.5 vs. Grok 4.7
  34. 43GPT-6.1 Terra vs. GPT-6 Sol
  35. 44Claude Haiku 4.5 vs. GPT-6.1 Sol
  36. 45Claude Sonnet 4.6 vs. Claude Haiku 4.5
  37. 46Claude Haiku 4.5 vs. Gemini 3.5 Flash-Lite
  38. 47Claude Haiku 4.5 vs. GPT-5.6 Luna
  39. 48Claude Haiku 4.5 vs. GPT-5.5
  40. 49GPT-6 Sol vs. Gemini 4 Carbon