GeoBench
Models geolocate GeoGuessr photos from community maps by giving coordinates and a country. Scored by country accuracy and a distance-based score.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Claude Fable 5 leads with 89%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 89.0 Claude Fable 5
- 88.0
Gemini 3 Flash
- 86.0
Gemini 2.5 Pro
- 86.0
Gemini 3.8 Flash
- 86.0
Muse Spark 1.3
- 85.0
Gemini 3.5 Flash
- 84.0
Gemini 2.5 Pro
- 84.0
Gemini 3 Pro
- 84.0
Gemini 3.1 Pro
- 84.0 Claude Fable 5.1
- 83.0
Gemini 3.1 Flash-Lite
- 81.0
Gemini 2.5 Pro
- 81.0 GPT-5
- 81.0 Claude Opus 4.8
- 80.0 o1
- 77.5
Gemini 2.0 Pro
- 77.0
Gemini 2.0 Flash
- 76.0
Gemini 1.5 Flash
- 76.0
Gemini 2.5 Flash
- 75.0 Claude Opus 4.5
- 74.0 o3
- 74.0 Claude Sonnet 5
- 73.0
Gemini 2.5 Flash
- 73.0 Claude Sonnet 4.6
- 73.0 GPT-5.6 Sol
- 72.0 GPT-4.1
- 71.0 GPT-4o
- 71.0 GLM-4.6V
- 70.0
Gemini 2.0 Flash Thinking
- 68.0 Claude 3.7 Sonnet
- 64.0 GPT-4o mini
- 64.0 o4-mini
- 62.0 Claude 3.5 Sonnet
- 62.0
Qwen2.5-VL-72B
- 61.0 Grok 4.7
- 60.0 Claude Sonnet 4.5
- 59.0
Qwen3-VL-235B-A22B
- 56.0
Mistral Medium 3.5
- 56.0 Grok 4.3
- 52.0
Llama 3.2 90B
- 52.0
Gemma 3 27B
- 52.0
Llama 4 Maverick
- 49.0 Claude Opus 4
- 45.0 Grok 4
- 38.0
Qwen 3.8 27B
- 37.0
Pixtral 12B
- 37.0 Claude Sonnet 4
- 34.0 Claude 3.5 Haiku
- 1 Claude Fable 5 89%
- 2
Gemini 3 Flash 88%
- 3
Gemini 2.5 Pro May 2025 86%
- 4
Gemini 3.8 Flash 86%
- 5
Muse Spark 1.3 86%
- 6
Gemini 3.5 Flash 85%
- 7
Gemini 2.5 Pro Mar 2025, with search 84%
- 8
Gemini 3 Pro 84%
- 9
Gemini 3.1 Pro 84%
- 10 Claude Fable 5.1 84%
- 11
Gemini 3.1 Flash-Lite 83%
- 12
Gemini 2.5 Pro Jun 2025 81%
- 13 GPT-5 81%
- 14 Claude Opus 4.8 thinking 81%
- 15 o1 80%
- 16
Gemini 2.0 Pro 77.5%
- 17
Gemini 2.0 Flash Feb 2025 77%
- 18
Gemini 1.5 Flash Sep 2024 76%
- 19
Gemini 2.5 Flash May 2025 76%
- 20 Claude Opus 4.5 thinking 75%
- 21 o3 74%
- 22 Claude Sonnet 5 74%
- 23
Gemini 2.5 Flash Apr 2025 73%
- 24 Claude Sonnet 4.6 thinking 73%
- 25 GPT-5.6 Sol high 73%
- 26 GPT-4.1 72%
- 27 GPT-4o Jan 2025 71%
- 28 GLM-4.6V 71%
- 29
Gemini 2.0 Flash Thinking Jan 2025 70%
- 30 Claude 3.7 Sonnet 68%
- 31 GPT-4o mini 64%
- 32 o4-mini high 64%
- 33 Claude 3.5 Sonnet 62%
- 34
Qwen2.5-VL-72B 62%
- 35 Grok 4.7 61%
- 36 Claude Sonnet 4.5 thinking 60%
- 37
Qwen3-VL-235B-A22B 59%
- 38
Mistral Medium 3.5 56%
- 39 Grok 4.3 56%
- 40
Llama 3.2 90B 52%
- 41
Gemma 3 27B 52%
- 42
Llama 4 Maverick 52%
- 43 Claude Opus 4 thinking 49%
- 44 Grok 4 45%
- 45
Qwen 3.8 27B 38%
- 46
Pixtral 12B 37%
- 47 Claude Sonnet 4 37%
- 48 Claude 3.5 Haiku 34%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5 | 89% | Jun 2026 | Official leaderboard | |
| 2 | | 88% | Dec 2025 | Official leaderboard | |
| 3 | | 86% | May 2025 | Official leaderboard | |
| 4 | | 86% | Sep 2026 | Official leaderboard | |
| 5 | | 86% | Sep 2026 | Official leaderboard | |
| 6 | | 85% | May 2026 | Official leaderboard | |
| 7 | | 84% | with search | Mar 2025 | Official leaderboard |
| 8 | | 84% | Nov 2025 | Official leaderboard | |
| 9 | | 84% | Feb 2026 | Official leaderboard | |
| 10 | Claude Fable 5.1 | 84% | Sep 2026 | Official leaderboard | |
| 11 | | 83% | Mar 2026 | Official leaderboard | |
| 12 | | 81% | Jun 2025 | Official leaderboard | |
| 13 | GPT-5 | 81% | Aug 2025 | Official leaderboard | |
| 14 | Claude Opus 4.8 | 81% | thinking | May 2026 | Official leaderboard |
| 15 | o1 | 80% | Dec 2024 | Official leaderboard | |
| 16 | | 77.5% | Feb 2025 | Official leaderboard | |
| 17 | | 77% | Feb 2025 | Official leaderboard | |
| 18 | | 76% | Aug 2024 | Official leaderboard | |
| 19 | | 76% | May 2025 | Official leaderboard | |
| 20 | Claude Opus 4.5 | 75% | thinking | Nov 2025 | Official leaderboard |
| 21 | o3 | 74% | Apr 2025 | Official leaderboard | |
| 22 | Claude Sonnet 5 | 74% | Jun 2026 | Official leaderboard | |
| 23 | | 73% | Apr 2025 | Official leaderboard | |
| 24 | Claude Sonnet 4.6 | 73% | thinking | Feb 2026 | Official leaderboard |
| 25 | GPT-5.6 Sol | 73% | high | Jul 2026 | Official leaderboard |
| 26 | GPT-4.1 | 72% | Apr 2025 | Official leaderboard | |
| 27 | GPT-4o Jan 2025 | 71% | Jan 2025 | Official leaderboard | |
| 28 | GLM-4.6V | 71% | Dec 2025 | Official leaderboard | |
| 29 | | 70% | Jan 2025 | Official leaderboard | |
| 30 | Claude 3.7 Sonnet | 68% | Feb 2025 | Official leaderboard | |
| 31 | GPT-4o mini | 64% | Jul 2024 | Official leaderboard | |
| 32 | o4-mini | 64% | high | Apr 2025 | Official leaderboard |
| 33 | Claude 3.5 Sonnet | 62% | Jun 2024 | Official leaderboard | |
| 34 | | 62% | Jan 2025 | Official leaderboard | |
| 35 | Grok 4.7 | 61% | Sep 2026 | Official leaderboard | |
| 36 | Claude Sonnet 4.5 | 60% | thinking | Sep 2025 | Official leaderboard |
| 37 | | 59% | Sep 2025 | Official leaderboard | |
| 38 | | 56% | Apr 2026 | Official leaderboard | |
| 39 | Grok 4.3 | 56% | Apr 2026 | Official leaderboard | |
| 40 | | 52% | Sep 2024 | Official leaderboard | |
| 41 | | 52% | Mar 2025 | Official leaderboard | |
| 42 | | 52% | Apr 2025 | Official leaderboard | |
| 43 | Claude Opus 4 | 49% | thinking | May 2025 | Official leaderboard |
| 44 | Grok 4 | 45% | Jul 2025 | Official leaderboard | |
| 45 | | 38% | Aug 2026 | Official leaderboard | |
| 46 | | 37% | Sep 2024 | Official leaderboard | |
| 47 | Claude Sonnet 4 | 37% | May 2025 | Official leaderboard | |
| 48 | Claude 3.5 Haiku | 34% | Oct 2024 | Official leaderboard |
Epoch AI has scores for 27 models. Labs report scores for 2 models in their cards. We plot every source in the charts below.
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
5 models have held number one since its release in Mar 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard, Epoch AI’s runs and what labs claim in their cards.
The best score passed 85% in May 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs dropped it from launch posts once the best score passed 85%
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 11 Aug 2025 | GLM-4.5V | 79.7 | GeoBench |
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 13 Aug 2025 | GLM-4.5V technical report | 79.7 | GeoBench, normalized to a percentage scale, GLM-4.5V thinking (Table 2) | Capabilities |
| 1 Jul 2025 | GLM-4.1V-9B-Thinking technical report | 76 | GeoBench, normalized to a percentage scale, GLM-4.1V-9B-Thinking thinking (Table 2) | Capabilities |
More in Vision
- MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
- MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. Kimi K3.1 Pro 84.1%
- CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
- MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy.
Qwen 3.8 Max 97.7%
- ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance.
Command A Vision 90.9%
- DocVQA In use Models answer 50,000 questions about 12,000 scanned document images by reading their text and layout. Scoring is ANLS, a string similarity to reference answers.
Seed1.5-VL 96.9%