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Claude Haiku 4.5 vs Ember-1

Ember-1 leads Claude Haiku 4.5 on coding, 52.6 to 35.6 on the Vibe Coding Index, and Claude Haiku 4.5 costs 3.0x less per output token ($5.00 vs $15.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
0
Ember-1Fireworks
Coding
52.6
Overall
No data
Output $/M
$15.00
7
vs boards won of 7 shared

Claude Haiku 4.5 or Ember-1: which to pick

Pick Ember-1 for coding: it scores 52.6 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 2 benchmarks against 4.

Pick Claude Haiku 4.5 for output tokens 3.0x cheaper ($5.00 vs $15.00 per million).

Shared results
7
Claude Haiku 4.5 only
88
Ember-1 only
7
Like-for-like categories
3 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.

At a glance

Coding index
Claude Haiku 4.5 35.6 from 4 benchmarks, Ember-1 52.6 from 2 benchmarks.
Widest category
Coding, 48.7 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Ember-1 83.9%, 72.5 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Ember-1 $15.00 per million output tokens, 3.0x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Ember-1 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.

Boards won, where both have a result
CategoryClaude Haiku 4.5BarsEmber-1Ties
Coding02
Agentic work04
General01
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured20.7%Only Ember-1 measured
Vibe Code Bench (Vals AI)11.4%83.9%Ember-1
Code migration (Vals AI)7.5%32.5%Ember-1
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
IOI (Vals AI)Not measured46.3%Only Ember-1 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
CyberBench (Vals AI)Not measured69.5%Only Ember-1 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding1454Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: software and IT1439Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
AA Intelligence Index16.9Not measuredOnly Claude Haiku 4.5 measured
Epoch Capabilities Index142.2Not measuredOnly Claude Haiku 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%51.8%Ember-1
Tax Agent Bench (Vals AI)5.9%31.1%Ember-1
Legal Research Bench (Vals AI)10.6%44.7%Ember-1
Excel Modeling Benchmark (Vals AI)22.7%63.4%Ember-1
BioMysteryBench (Vals AI)Not measured67.0%Only Ember-1 measured
Terminal-Bench-Science (Vals AI)Not measured5.7%Only Ember-1 measured
Vals Science IndexNot measured31.8%Only Ember-1 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 26 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Reasoning benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MysteryMechanism (Vals AI)Not measured22.5%Only Ember-1 measured
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: expert1443Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts in English1435Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%Not measuredOnly Claude Haiku 4.5 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math1398Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: mathematical work1430Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science1406Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: medicine and healthcare1394Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: legal and government1400Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: business and finance1400Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1071Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1114Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1025Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1140Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%66.2%Ember-1
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
DTBench73.6%Not measuredOnly Claude Haiku 4.5 measured
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text1397Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: instruction following1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: creative writing1371Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: English1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: non-English1377Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Chinese1418Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: German1374Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Japanese1338Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Korean1346Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: French1411Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian1381Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn1409Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: longer queries1427Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: writing and language1386Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: entertainment and media1369Not measuredOnly Claude Haiku 4.5 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and Ember-1
BenchmarkClaude Haiku 4.5Ember-1Leader
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$0.0035Fits in one request
Ember-1$0.011Fits in one request

Claude Haiku 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Ember-1$0.195Fits in one request

Claude Haiku 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Ember-1$0.750Fits in one request

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.

Specifications of Claude Haiku 4.5 and Ember-1
SpecificationAnthropic Claude Haiku 4.5Fireworks Ember-1
MakerAnthropicFireworks
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025September 24, 2026
Context window200K1.05M
Input $/Mtok$1.00$3.00
Output $/Mtok$5.00$15.00
Coding index35.652.6
Independent measurements behind it42
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Ember-1 for coding?

Pick Ember-1 for coding: it scores 52.6 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5, though on 2 benchmarks against 4. Pick Claude Haiku 4.5 for output tokens 3.0x cheaper ($5.00 vs $15.00 per million).

Which is cheaper, Claude Haiku 4.5 or Ember-1?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Ember-1 costs $3.00 and $15.00. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Ember-1?

Ember-1, with 1.05M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Ember-1 comparison based on?

7 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 Ember-1's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/claude-haiku-4-5-vs-fireworks-ember-1" title="Claude Haiku 4.5 vs Ember-1, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-haiku-4-5-vs-fireworks-ember-1">LLMBenchmark.ai, Claude Haiku 4.5 vs Ember-1</a></p>