Skip to content

Grok 4.7 vs SWE-1.5

Grok 4.7

xAI

89#43
vs
SWE-1.5

Windsurf

36#420
Signal-by-Signal Comparison
SignalGrok 4.7DeltaSWE-1.5
Capabilities
100
+50
50
Benchmarks
86
+86
0
Pricing
95
-5
100
Context window size
90
+90
0
Recency
100
+38
62
Output Capacity
90
+70
20
Overall Result
5 wins
of 6
1 wins
Grok 4.7 wins 5 of 6 signals

Score History

Score History (28 data points)
Grok 4.7SWE-1.5
Grok 4.7

88.8

current score

Leader

Grok 4.7

right now

SWE-1.5

36.1

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Grok 4.7

xAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

SWE-1.5

Windsurf

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

SWE-1.5 saves you $400.00/month

That's $4800.00/year compared to Grok 4.7 at your current usage level of 100K calls/month.

100% cheaper
Choose SWE-1.5 for cost optimization

Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
SWE-1.5 pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Grok 4.7

xAI

89

Composite Score

SWE-1.5

Windsurf

36

Composite Score

Signal-by-Signal Comparison
MetricGrok 4.7SWE-1.5Winner
Overall Score
89
36
Grok 4.7
Rank#43#420
Grok 4.7
Quality Rank#43#420
Grok 4.7
Adoption Rank#43#420
Grok 4.7
Parameters------
Context Window500K----
Pricing$1.60/$4.80/MFree--
Signal Scores
Capabilities
100
50
Grok 4.7
Benchmarks
86
--
Grok 4.7
Pricing
95
100
SWE-1.5
Context window size
90
0
Grok 4.7
Recency
100
62
Grok 4.7
Output Capacity
90
20
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
Grok 4.7: 0SWE-1.5: 0
Grok 4.7
SWE-1.5
Normalized 0-100%
MMLU
91.5%-
MMLU-Pro
83.5%-
GPQA Diamond
82%-
MATH-500
95%-
HumanEval
95.5%-
SWE-bench Verified
70%-
AIME 2024
88%-
IFEval
91%-
BBH
90%-
Arena Elo
1462-
LiveBench
73%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Grok 4.7Elite Tier

Scores 89/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
SWE-1.5Entry Level

Scores 36/100 (rank #420), placing it in the top -44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 53-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Grok 4.7 when you need:

  • Processing long documents or large codebases (500K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose SWE-1.5 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Grok 4.7
Input cost$1.60/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$96.00
SWE-1.5
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Grok 4.7Faster
Speed score0/100
SWE-1.5
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Grok 4.7

Customer support chatbot

Suitable for user-facing chat with competitive response times. SWE-1.5 also offers lower per-token costs for high-volume support

Grok 4.7

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

SWE-1.5

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Grok 4.7
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms SWE-1.5 with a significant 52.699999999999996-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, SWE-1.5 may still excel in niche scenarios.

Grok 4.7
Recommended

by xAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Windsurf

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityGrok 4.7SWE-1.5
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Grok 4.7

xAI

$8.64
estimated monthly cost

SWE-1.5

Windsurf

Best Value
$0.000000
estimated monthly cost

SWE-1.5 saves you $8.64/month

That's 100% cheaper than Grok 4.7 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGrok 4.7SWE-1.5
Context Window500K--
Max Output Tokens450,000--
Open SourceNoNo
CreatedSep 21, 2026Sep 1, 2025
Last updated: 24m ago

Related comparisons

Grok 4.7 vs SWE-1.5 (2026) | LM Market Cap