Claude Haiku 4.5 vs Gemini 2.5 Pro
Claude Haiku 4.5 leads Gemini 2.5 Pro on coding, 35.6 to 19.1 on the Vibe Coding Index, and Claude Haiku 4.5 costs 2.0x less per output token ($5.00 vs $10.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.
Claude Haiku 4.5 or Gemini 2.5 Pro: which to pick
Pick Claude Haiku 4.5 for coding: it scores 35.6 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro for a larger context window (1.05M against 200K tokens) and work measured by WeirdML or LMArena Text: software and IT, where it leads.
- Shared results
- 60
- Claude Haiku 4.5 only
- 35
- Gemini 2.5 Pro only
- 30
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
Claude Haiku 4.5
Claude Haiku 4.5 scores 35.6 against 19.1.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 16.9 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 8.0 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Haiku 4.5 has a GPQA Diamond result, 72.2%.
Directional only
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Haiku 4.5 has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 1167 against 1122.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 4.5
Claude Haiku 4.5 $0.0035, Gemini 2.5 Pro $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Haiku 4.5
Claude Haiku 4.5 $0.56, Gemini 2.5 Pro $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, Gemini 2.5 Pro 19.1 from 3 benchmarks.
- Widest category
- General, 10.9 points apart on average over 22 shared benchmarks.
- Widest single gap
- LMArena Text: Polish: Claude Haiku 4.5 1343 against Gemini 2.5 Pro 1479, 22.7 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Gemini 2.5 Pro $10.00 per million output tokens, 2.0x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, Gemini 2.5 Pro 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Haiku 4.5 | Bars | Gemini 2.5 Pro | Ties |
|---|---|---|---|---|
| Coding | 8 | 2 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 2 | 1 | ||
| Reasoning | 1 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 8 | ||
| Web design | 0 | 6 | ||
| General | 1 | 21 | ||
| All shared boards | 13 | 47 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index82
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | 53.6% | Claude Haiku 4.5 |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev | 1330 | 1226 | Claude Haiku 4.5 |
| AA Coding Index | 43.9 | 33.3 | Claude Haiku 4.5 |
| LiveCodeBench (Vals AI) | 41.2% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Verified (Vals AI) | 66.6% | 54.4% | Claude Haiku 4.5 |
| Vibe Code Bench (Vals AI) | 11.4% | 0.4% | Claude Haiku 4.5 |
| Code migration (Vals AI) | 7.5% | Not measured | Only Claude Haiku 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 80.1% | Only Gemini 2.5 Pro measured |
| SciCode | Not measured | 46.3% | Only Gemini 2.5 Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 26.5% | Only Gemini 2.5 Pro measured |
| Terminal-Bench | 35.5% | 32.6% | Claude Haiku 4.5 |
| GSO-Bench | Not measured | 3.9% | Only Gemini 2.5 Pro measured |
| WeirdML | 45.4% | 54.0% | Gemini 2.5 Pro |
| LMArena Text: coding | 1454 | 1452 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1459 | Gemini 2.5 Pro |
| LMArena WebDev: React | 1326 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev: HTML | 1318 | 1235 | Claude Haiku 4.5 |
| LMArena WebDev: from an image | Not measured | 1285 | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 16.1 | Claude Haiku 4.5 |
| Epoch Capabilities Index | 142.2 | 145.1 | Gemini 2.5 Pro |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 1.6 | Claude Haiku 4.5 |
| LiveBench research | 42.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench browser | 40.0% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench long agentic | 11.1% | Not measured | Only Claude Haiku 4.5 measured |
| Finance Agent (Vals AI) | 31.0% | Not measured | Only Claude Haiku 4.5 measured |
| Tax Agent Bench (Vals AI) | 5.9% | Not measured | Only Claude Haiku 4.5 measured |
| Legal Research Bench (Vals AI) | 10.6% | Not measured | Only Claude Haiku 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | Not measured | Only Claude Haiku 4.5 measured |
| τ²-Bench Telecom | Not measured | 54.1% | Only Gemini 2.5 Pro measured |
| GDPval | Not measured | 23.3% | Only Gemini 2.5 Pro measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | 41.5% | Claude Haiku 4.5 |
| Vending-Bench 2 | $459 | $574 | Gemini 2.5 Pro |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | Not measured | Only Claude Haiku 4.5 measured |
| BrowseComp-Plus | Not measured | 29.5% | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | Not measured | Only Claude Haiku 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.4% | Only Gemini 2.5 Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 22.5% | Only Gemini 2.5 Pro measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 85.3% | Gemini 2.5 Pro |
| ARC-AGI | 47.7% | 41.0% | Claude Haiku 4.5 |
| ARC-AGI-2 | 4.0% | 4.9% | Gemini 2.5 Pro |
| Chess puzzles | 8.0% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: hard prompts | 1421 | 1455 | Gemini 2.5 Pro |
| LMArena Text: expert | 1443 | 1452 | Gemini 2.5 Pro |
| LMArena Text: hard prompts in English | 1435 | 1453 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | Not measured | 1274 | Only Gemini 2.5 Pro measured |
| LMArena Vision: homework | Not measured | 1281 | Only Gemini 2.5 Pro measured |
| Kagi LLM Benchmark | Not measured | 70.3% | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AIME | 82.7% | Not measured | Only Claude Haiku 4.5 measured |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| AA Math Index | Not measured | 87.7 | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 87.7% | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 66.7% | 84.7% | Gemini 2.5 Pro |
| FrontierMath, tiers 1 to 3 | Not measured | 24.6% | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only Gemini 2.5 Pro measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1450 | Gemini 2.5 Pro |
| LMArena Text: mathematical work | 1430 | 1454 | Gemini 2.5 Pro |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | Not measured | Only Claude Haiku 4.5 measured |
| LegalBench (Vals AI) | 81.2% | Not measured | Only Claude Haiku 4.5 measured |
| CaseLaw (Vals AI) | 56.5% | 63.9% | Gemini 2.5 Pro |
| CorpFin (Vals AI) | 60.6% | 60.8% | Gemini 2.5 Pro |
| TaxEval (Vals AI) | 67.5% | Not measured | Only Claude Haiku 4.5 measured |
| MortgageTax (Vals AI) | 62.2% | 68.9% | Gemini 2.5 Pro |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 50.6% | Gemini 2.5 Pro |
| MMLU Pro (Artificial Analysis run) | Not measured | 86.2% | Only Gemini 2.5 Pro measured |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | 1480 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1394 | 1476 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1400 | 1480 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1400 | 1439 | Gemini 2.5 Pro |
| FACTS Benchmark Suite | Not measured | 61.5% | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1167 | Gemini 2.5 Pro |
| Design Arena: UI components | 1097 | 1137 | Gemini 2.5 Pro |
| Design Arena: game dev | 1097 | 1111 | Gemini 2.5 Pro |
| Design Arena: data viz | 1124 | 1222 | Gemini 2.5 Pro |
| Design Arena: 3D | 1071 | 1080 | Gemini 2.5 Pro |
| Design Arena: all code categories | 1114 | 1152 | Gemini 2.5 Pro |
| Design Arena: SVG | 1025 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: ASCII art | 1140 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | Not measured | Only Claude Haiku 4.5 measured |
| Public Benefits Bench (Vals AI) | 54.3% | Not measured | Only Claude Haiku 4.5 measured |
| SAGE (Vals AI) | 31.8% | 41.9% | Gemini 2.5 Pro |
| MedScribe (Vals AI) | 85.2% | 73.5% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 48.7% | Only Gemini 2.5 Pro measured |
| Long context reasoning (AA-LCR) | Not measured | 69.0% | Only Gemini 2.5 Pro measured |
| DTBench | 73.6% | 82.4% | Gemini 2.5 Pro |
| LMCA | 30.9% | 34.8% | Gemini 2.5 Pro |
| Creative writing (Lech Mazur) | Not measured | 83.8% | Only Gemini 2.5 Pro measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1458 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1414 | 1437 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1371 | 1454 | Gemini 2.5 Pro |
| LMArena Vision | Not measured | 1263 | Only Gemini 2.5 Pro measured |
| LMArena Text: English | 1414 | 1458 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1377 | 1452 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1418 | 1507 | Gemini 2.5 Pro |
| LMArena Text: German | 1374 | 1487 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1338 | 1461 | Gemini 2.5 Pro |
| LMArena Text: Korean | 1346 | 1434 | Gemini 2.5 Pro |
| LMArena Text: French | 1411 | 1473 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1421 | 1474 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1381 | 1461 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1343 | 1479 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1409 | 1453 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1427 | 1449 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1386 | 1454 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1369 | 1441 | Gemini 2.5 Pro |
| LMArena Vision: English | Not measured | 1261 | Only Gemini 2.5 Pro measured |
| LMArena Vision: Chinese | Not measured | 1300 | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only Gemini 2.5 Pro measured |
| LMArena Vision: humor | Not measured | 1262 | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | Not measured | 1304 | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | Not measured | 1283 | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | Not measured | 1265 | Only Gemini 2.5 Pro measured |
| LMArena Document | 1420 | 1421 | Gemini 2.5 Pro |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Claude Haiku 4.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 4.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 4.5 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Haiku 4.5 | Google Gemini 2.5 Pro |
|---|---|---|
| Maker | Anthropic | |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | June 17, 2025 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $1.00 | $1.25 |
| Output $/Mtok | $5.00 | $10.00 |
| Coding index | 35.6 | 19.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $0.56 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Gemini 2.5 Pro for coding?
Pick Claude Haiku 4.5 for coding: it scores 35.6 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a larger context window (1.05M against 200K tokens) and work measured by WeirdML or LMArena Text: software and IT, where it leads.
Which is cheaper, Claude Haiku 4.5 or Gemini 2.5 Pro?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Gemini 2.5 Pro costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Gemini 2.5 Pro $0.64.
Which has the bigger context window, Claude Haiku 4.5 or Gemini 2.5 Pro?
Gemini 2.5 Pro, with 1.05M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs Gemini 2.5 Pro comparison based on?
60 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Gemini 2.5 Pro's on 3. Where only one model has a result, the page says so instead of naming a winner.